http://dl-prod.essi.upc.edu/IMAGINGwiki/api.php?action=feedcontributions&feedformat=atom&user=Besim 2026-05-02T13:39:21Z User contributions MediaWiki 1.38.4 http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=AnnotationApp:Main&diff=504 2023-02-10T15:09:52Z

<p>Besim: </p> <hr /> <div>[[Category:AnnotationApp:Main]]<br /> <br /> Annotation App is a tool developed to support the process of annotating microscopic images of blood samples. It offers basic functionalities to highlight parts of the image and label them using pre-defined annotations. For instance, in the case of Malaria one can mark the different kinds of parasites appearing in the image and label them. The result of the labeling allows the creation of a training dataset that can be used to train machine learning models.<br /> <br /> ==Installation and Upgrades==<br /> <br /> The [[AnnotationApp:Installation and Upgrades|Installation and Upgrades]] page<br /> <br /> ==User Guide==<br /> <br /> The [[AnnotationApp:User Guide|User Guide]] page</div>

Besim http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=AnnotationApp:User_Guide&diff=503 2023-02-09T16:57:47Z

<p>Besim: /* Application usage */</p> <hr /> <div>[[Category:AnnotationApp:User Guide]]<br /> <br /> This is a step-by-step user guide for the Annotation App. It contains information on what each feature does and instructions on how to use them.<br /> <br /> == Application layout (GUI) ==<br /> <br /> The application is composed of a single window, whose elements are depicted in the image below:<br /> ;[[File:Annotationapp-0.0.1-screenshot.png]]<br /> <br /> == Application usage ==<br /> <br /> The tool supports loading multiple images, which allows to annotate a set of images and later save all the pending changes. To do so, the annotator must select multiple input files.<br /> <br /> ;[[File:Annotationapp-0.0.1-multiplefiles.png|none|frame|Multiple file selection]]<br /> <br /> If an image has already been annotated, its annotations will be automatically loaded. Otherwise, an empty set of annotations will be displayed. When the annotator updates the current set of annotations, the tool will inform that the changes are not synchronized with the cloud using the following icons:<br /> * Changes have been stored [[File:Annotationapp-0.0.1-savedicon.png|30px]]<br /> * Changes have not been stored [[File:Annotationapp-0.0.1-notsavedicon.png|30px]]<br /> <br /> It is recommended to periodically save pending annotations. Also, in order to avoid the loss of data in the presence of application errors, avoid annotating in parallel a large set of images.<br /> <br /> The process of generating annotations is performed graphically over the image. The annotator must accurately select the area (bounding box) of each potential parasite (either positive, negative or uncertain) as follows:<br /> ;[[File:Annotationapp-0.0.1-annotation.png|none|frame|Bounding box of an annotation]]<br /> <br /> Generating annotations will not be possible if the annotator has not selected the kind of parasite, the label (positive, negative, or uncertain) and the kind of sample. <br /> After saving, either a single image or a set of images, the application will inform of the successful storage. At this moment, the system has synchronized all the changes with the cloud repository. Nevertheless, it is important also to know that upon the loss of internet connection or any other error related to the synchronization with the cloud, the system locally maintains the files in an internal folder.<br /> <br /> ;[[File:Annotationapp-0.0.1-successwindow.png|none|frame|Successful submission]]</div>

Besim http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=AnnotationApp:User_Guide&diff=502 2023-02-09T16:57:37Z

<p>Besim: /* Application usage */</p> <hr /> <div>[[Category:AnnotationApp:User Guide]]<br /> <br /> This is a step-by-step user guide for the Annotation App. It contains information on what each feature does and instructions on how to use them.<br /> <br /> == Application layout (GUI) ==<br /> <br /> The application is composed of a single window, whose elements are depicted in the image below:<br /> ;[[File:Annotationapp-0.0.1-screenshot.png]]<br /> <br /> == Application usage ==<br /> <br /> The tool supports loading multiple images, which allows to annotate a set of images and later save all the pending changes. To do so, the annotator must select multiple input files.<br /> <br /> ;[[File:Annotationapp-0.0.1-multiplefiles.png|none|frame|File selection]]<br /> <br /> If an image has already been annotated, its annotations will be automatically loaded. Otherwise, an empty set of annotations will be displayed. When the annotator updates the current set of annotations, the tool will inform that the changes are not synchronized with the cloud using the following icons:<br /> * Changes have been stored [[File:Annotationapp-0.0.1-savedicon.png|30px]]<br /> * Changes have not been stored [[File:Annotationapp-0.0.1-notsavedicon.png|30px]]<br /> <br /> It is recommended to periodically save pending annotations. Also, in order to avoid the loss of data in the presence of application errors, avoid annotating in parallel a large set of images.<br /> <br /> The process of generating annotations is performed graphically over the image. The annotator must accurately select the area (bounding box) of each potential parasite (either positive, negative or uncertain) as follows:<br /> ;[[File:Annotationapp-0.0.1-annotation.png|none|frame|Bounding box of an annotation]]<br /> <br /> Generating annotations will not be possible if the annotator has not selected the kind of parasite, the label (positive, negative, or uncertain) and the kind of sample. <br /> After saving, either a single image or a set of images, the application will inform of the successful storage. At this moment, the system has synchronized all the changes with the cloud repository. Nevertheless, it is important also to know that upon the loss of internet connection or any other error related to the synchronization with the cloud, the system locally maintains the files in an internal folder.<br /> <br /> ;[[File:Annotationapp-0.0.1-successwindow.png|none|frame|Successful submission]]</div>

Besim http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=AnnotationApp:User_Guide&diff=501 2023-02-09T16:56:51Z

<p>Besim: /* Application usage */</p> <hr /> <div>[[Category:AnnotationApp:User Guide]]<br /> <br /> This is a step-by-step user guide for the Annotation App. It contains information on what each feature does and instructions on how to use them.<br /> <br /> == Application layout (GUI) ==<br /> <br /> The application is composed of a single window, whose elements are depicted in the image below:<br /> ;[[File:Annotationapp-0.0.1-screenshot.png]]<br /> <br /> == Application usage ==<br /> <br /> The tool supports loading multiple images, which allows to annotate a set of images and later save all the pending changes. To do so, the annotator must select multiple input files.<br /> <br /> ;[[File:Annotationapp-0.0.1-multiplefiles.png|none|frame|File selection]]<br /> <br /> If an image has already been annotated, its annotations will be automatically loaded. Otherwise, an empty set of annotations will be displayed. When the annotator updates the current set of annotations, the tool will inform that the changes are not synchronized with the cloud using the following icons:<br /> * Changes have been stored [[File:Annotationapp-0.0.1-savedicon.png|30px]]<br /> * Changes have not been stored [[File:Annotationapp-0.0.1-notsavedicon.png|30px]]<br /> <br /> It is recommended to periodically save pending annotations. Also, in order to avoid the loss of data in the presence of application errors, avoid annotating in parallel a large set of images.<br /> <br /> The process of generating annotations is performed graphically over the image. The annotator must accurately select the area (bounding box) of each potential parasite (either positive, negative or uncertain) as follows:<br /> #;[[File:Annotationapp-0.0.1-annotation.png|none|frame|Screenshot of annotations]]<br /> <br /> Generating annotations will not be possible if the annotator has not selected the kind of parasite, the label (positive, negative, or uncertain) and the kind of sample. <br /> After saving, either a single image or a set of images, the application will inform of the successful storage. At this moment, the system has synchronized all the changes with the cloud repository. Nevertheless, it is important also to know that upon the loss of internet connection or any other error related to the synchronization with the cloud, the system locally maintains the files in an internal folder.<br /> <br /> #;[[File:Annotationapp-0.0.1-successwindow.png|none|frame|Screenshot of successful submission]]</div>

Besim http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=AnnotationApp:User_Guide&diff=500 2023-02-09T16:56:26Z

<p>Besim: /* Application usage */</p> <hr /> <div>[[Category:AnnotationApp:User Guide]]<br /> <br /> This is a step-by-step user guide for the Annotation App. It contains information on what each feature does and instructions on how to use them.<br /> <br /> == Application layout (GUI) ==<br /> <br /> The application is composed of a single window, whose elements are depicted in the image below:<br /> ;[[File:Annotationapp-0.0.1-screenshot.png]]<br /> <br /> == Application usage ==<br /> <br /> The tool supports loading multiple images, which allows to annotate a set of images and later save all the pending changes. To do so, the annotator must select multiple input files.<br /> <br /> ;[[File:Annotationapp-0.0.1-multiplefiles.png|none|frame|File selection]]<br /> <br /> If an image has already been annotated, its annotations will be automatically loaded. Otherwise, an empty set of annotations will be displayed. When the annotator updates the current set of annotations, the tool will inform that the changes are not synchronized with the cloud using the following icons:<br /> * Changes have been stored [[File:Annotationapp-0.0.1-savedicon.png|30px]]<br /> * Changes have not been stored [[File:Annotationapp-0.0.1-notsavedicon.png|30px]]<br /> <br /> It is recommended to periodically save pending annotations. Also, in order to avoid the loss of data in the presence of application errors, avoid annotating in parallel a large set of images.<br /> <br /> The process of generating annotations is performed graphically over the image. The annotator must accurately select the area (bounding box) of each potential parasite (either positive, negative or uncertain) as follows:<br /> #;[[File:Annotationapp-0.0.1-annotation.png|left|thumb|Screenshot of annotations]]<br /> <br /> Generating annotations will not be possible if the annotator has not selected the kind of parasite, the label (positive, negative, or uncertain) and the kind of sample. <br /> After saving, either a single image or a set of images, the application will inform of the successful storage. At this moment, the system has synchronized all the changes with the cloud repository. Nevertheless, it is important also to know that upon the loss of internet connection or any other error related to the synchronization with the cloud, the system locally maintains the files in an internal folder.<br /> <br /> #;[[File:Annotationapp-0.0.1-successwindow.png|left|thumb|Screenshot of successful submission]]</div>

Besim http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=AnnotationApp:User_Guide&diff=499 2023-02-09T16:55:37Z

<p>Besim: /* Application usage */</p> <hr /> <div>[[Category:AnnotationApp:User Guide]]<br /> <br /> This is a step-by-step user guide for the Annotation App. It contains information on what each feature does and instructions on how to use them.<br /> <br /> == Application layout (GUI) ==<br /> <br /> The application is composed of a single window, whose elements are depicted in the image below:<br /> ;[[File:Annotationapp-0.0.1-screenshot.png]]<br /> <br /> == Application usage ==<br /> <br /> The tool supports loading multiple images, which allows to annotate a set of images and later save all the pending changes. To do so, the annotator must select multiple input files.<br /> <br /> ;[[File:Annotationapp-0.0.1-multiplefiles.png|left|frame|File selection]]<br /> <br /> If an image has already been annotated, its annotations will be automatically loaded. Otherwise, an empty set of annotations will be displayed. When the annotator updates the current set of annotations, the tool will inform that the changes are not synchronized with the cloud using the following icons:<br /> * Changes have been stored [[File:Annotationapp-0.0.1-savedicon.png|30px]]<br /> * Changes have not been stored [[File:Annotationapp-0.0.1-notsavedicon.png|30px]]<br /> <br /> It is recommended to periodically save pending annotations. Also, in order to avoid the loss of data in the presence of application errors, avoid annotating in parallel a large set of images.<br /> <br /> The process of generating annotations is performed graphically over the image. The annotator must accurately select the area (bounding box) of each potential parasite (either positive, negative or uncertain) as follows:<br /> #;[[File:Annotationapp-0.0.1-annotation.png|left|thumb|Screenshot of annotations]]<br /> <br /> Generating annotations will not be possible if the annotator has not selected the kind of parasite, the label (positive, negative, or uncertain) and the kind of sample. <br /> After saving, either a single image or a set of images, the application will inform of the successful storage. At this moment, the system has synchronized all the changes with the cloud repository. Nevertheless, it is important also to know that upon the loss of internet connection or any other error related to the synchronization with the cloud, the system locally maintains the files in an internal folder.<br /> <br /> #;[[File:Annotationapp-0.0.1-successwindow.png|left|thumb|Screenshot of successful submission]]</div>

Besim http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=AnnotationApp:User_Guide&diff=498 2023-02-09T16:55:30Z

<p>Besim: /* Application usage */</p> <hr /> <div>[[Category:AnnotationApp:User Guide]]<br /> <br /> This is a step-by-step user guide for the Annotation App. It contains information on what each feature does and instructions on how to use them.<br /> <br /> == Application layout (GUI) ==<br /> <br /> The application is composed of a single window, whose elements are depicted in the image below:<br /> ;[[File:Annotationapp-0.0.1-screenshot.png]]<br /> <br /> == Application usage ==<br /> <br /> The tool supports loading multiple images, which allows to annotate a set of images and later save all the pending changes. To do so, the annotator must select multiple input files.<br /> <br /> ;[[File:Annotationapp-0.0.1-multiplefiles.png|left|border|File selection]]<br /> <br /> If an image has already been annotated, its annotations will be automatically loaded. Otherwise, an empty set of annotations will be displayed. When the annotator updates the current set of annotations, the tool will inform that the changes are not synchronized with the cloud using the following icons:<br /> * Changes have been stored [[File:Annotationapp-0.0.1-savedicon.png|30px]]<br /> * Changes have not been stored [[File:Annotationapp-0.0.1-notsavedicon.png|30px]]<br /> <br /> It is recommended to periodically save pending annotations. Also, in order to avoid the loss of data in the presence of application errors, avoid annotating in parallel a large set of images.<br /> <br /> The process of generating annotations is performed graphically over the image. The annotator must accurately select the area (bounding box) of each potential parasite (either positive, negative or uncertain) as follows:<br /> #;[[File:Annotationapp-0.0.1-annotation.png|left|thumb|Screenshot of annotations]]<br /> <br /> Generating annotations will not be possible if the annotator has not selected the kind of parasite, the label (positive, negative, or uncertain) and the kind of sample. <br /> After saving, either a single image or a set of images, the application will inform of the successful storage. At this moment, the system has synchronized all the changes with the cloud repository. Nevertheless, it is important also to know that upon the loss of internet connection or any other error related to the synchronization with the cloud, the system locally maintains the files in an internal folder.<br /> <br /> #;[[File:Annotationapp-0.0.1-successwindow.png|left|thumb|Screenshot of successful submission]]</div>

Besim http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=AnnotationApp:User_Guide&diff=497 2023-02-09T16:55:19Z

<p>Besim: /* Application usage */</p> <hr /> <div>[[Category:AnnotationApp:User Guide]]<br /> <br /> This is a step-by-step user guide for the Annotation App. It contains information on what each feature does and instructions on how to use them.<br /> <br /> == Application layout (GUI) ==<br /> <br /> The application is composed of a single window, whose elements are depicted in the image below:<br /> ;[[File:Annotationapp-0.0.1-screenshot.png]]<br /> <br /> == Application usage ==<br /> <br /> The tool supports loading multiple images, which allows to annotate a set of images and later save all the pending changes. To do so, the annotator must select multiple input files.<br /> <br /> ;[[File:Annotationapp-0.0.1-multiplefiles.png|left|birder|File selection]]<br /> <br /> If an image has already been annotated, its annotations will be automatically loaded. Otherwise, an empty set of annotations will be displayed. When the annotator updates the current set of annotations, the tool will inform that the changes are not synchronized with the cloud using the following icons:<br /> * Changes have been stored [[File:Annotationapp-0.0.1-savedicon.png|30px]]<br /> * Changes have not been stored [[File:Annotationapp-0.0.1-notsavedicon.png|30px]]<br /> <br /> It is recommended to periodically save pending annotations. Also, in order to avoid the loss of data in the presence of application errors, avoid annotating in parallel a large set of images.<br /> <br /> The process of generating annotations is performed graphically over the image. The annotator must accurately select the area (bounding box) of each potential parasite (either positive, negative or uncertain) as follows:<br /> #;[[File:Annotationapp-0.0.1-annotation.png|left|thumb|Screenshot of annotations]]<br /> <br /> Generating annotations will not be possible if the annotator has not selected the kind of parasite, the label (positive, negative, or uncertain) and the kind of sample. <br /> After saving, either a single image or a set of images, the application will inform of the successful storage. At this moment, the system has synchronized all the changes with the cloud repository. Nevertheless, it is important also to know that upon the loss of internet connection or any other error related to the synchronization with the cloud, the system locally maintains the files in an internal folder.<br /> <br /> #;[[File:Annotationapp-0.0.1-successwindow.png|left|thumb|Screenshot of successful submission]]</div>

Besim http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=AnnotationApp:User_Guide&diff=496 2023-02-09T16:54:55Z

<p>Besim: /* Application usage */</p> <hr /> <div>[[Category:AnnotationApp:User Guide]]<br /> <br /> This is a step-by-step user guide for the Annotation App. It contains information on what each feature does and instructions on how to use them.<br /> <br /> == Application layout (GUI) ==<br /> <br /> The application is composed of a single window, whose elements are depicted in the image below:<br /> ;[[File:Annotationapp-0.0.1-screenshot.png]]<br /> <br /> == Application usage ==<br /> <br /> The tool supports loading multiple images, which allows to annotate a set of images and later save all the pending changes. To do so, the annotator must select multiple input files.<br /> #;[[File:Annotationapp-0.0.1-multiplefiles.png|left|frame|File selection]]<br /> <br /> If an image has already been annotated, its annotations will be automatically loaded. Otherwise, an empty set of annotations will be displayed. When the annotator updates the current set of annotations, the tool will inform that the changes are not synchronized with the cloud using the following icons:<br /> * Changes have been stored [[File:Annotationapp-0.0.1-savedicon.png|30px]]<br /> * Changes have not been stored [[File:Annotationapp-0.0.1-notsavedicon.png|30px]]<br /> <br /> It is recommended to periodically save pending annotations. Also, in order to avoid the loss of data in the presence of application errors, avoid annotating in parallel a large set of images.<br /> <br /> The process of generating annotations is performed graphically over the image. The annotator must accurately select the area (bounding box) of each potential parasite (either positive, negative or uncertain) as follows:<br /> #;[[File:Annotationapp-0.0.1-annotation.png|left|thumb|Screenshot of annotations]]<br /> <br /> Generating annotations will not be possible if the annotator has not selected the kind of parasite, the label (positive, negative, or uncertain) and the kind of sample. <br /> After saving, either a single image or a set of images, the application will inform of the successful storage. At this moment, the system has synchronized all the changes with the cloud repository. Nevertheless, it is important also to know that upon the loss of internet connection or any other error related to the synchronization with the cloud, the system locally maintains the files in an internal folder.<br /> <br /> #;[[File:Annotationapp-0.0.1-successwindow.png|left|thumb|Screenshot of successful submission]]</div>

Besim http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=AnnotationApp:User_Guide&diff=495 2023-02-09T16:54:23Z

<p>Besim: /* Application usage */</p> <hr /> <div>[[Category:AnnotationApp:User Guide]]<br /> <br /> This is a step-by-step user guide for the Annotation App. It contains information on what each feature does and instructions on how to use them.<br /> <br /> == Application layout (GUI) ==<br /> <br /> The application is composed of a single window, whose elements are depicted in the image below:<br /> ;[[File:Annotationapp-0.0.1-screenshot.png]]<br /> <br /> == Application usage ==<br /> <br /> The tool supports loading multiple images, which allows to annotate a set of images and later save all the pending changes. To do so, the annotator must select multiple input files.<br /> #;[[File:Annotationapp-0.0.1-multiplefiles.png|left|thumb|File selection]]<br /> <br /> If an image has already been annotated, its annotations will be automatically loaded. Otherwise, an empty set of annotations will be displayed. When the annotator updates the current set of annotations, the tool will inform that the changes are not synchronized with the cloud using the following icons:<br /> * Changes have been stored [[File:Annotationapp-0.0.1-savedicon.png|30px]]<br /> * Changes have not been stored [[File:Annotationapp-0.0.1-notsavedicon.png|30px]]<br /> <br /> It is recommended to periodically save pending annotations. Also, in order to avoid the loss of data in the presence of application errors, avoid annotating in parallel a large set of images.<br /> <br /> The process of generating annotations is performed graphically over the image. The annotator must accurately select the area (bounding box) of each potential parasite (either positive, negative or uncertain) as follows:<br /> #;[[File:Annotationapp-0.0.1-annotation.png|left|thumb|Screenshot of annotations]]<br /> <br /> Generating annotations will not be possible if the annotator has not selected the kind of parasite, the label (positive, negative, or uncertain) and the kind of sample. <br /> After saving, either a single image or a set of images, the application will inform of the successful storage. At this moment, the system has synchronized all the changes with the cloud repository. Nevertheless, it is important also to know that upon the loss of internet connection or any other error related to the synchronization with the cloud, the system locally maintains the files in an internal folder.<br /> <br /> #;[[File:Annotationapp-0.0.1-successwindow.png|left|thumb|Screenshot of successful submission]]</div>

Besim http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=AnnotationApp:User_Guide&diff=494 2023-02-09T16:53:16Z

<p>Besim: /* Application usage */</p> <hr /> <div>[[Category:AnnotationApp:User Guide]]<br /> <br /> This is a step-by-step user guide for the Annotation App. It contains information on what each feature does and instructions on how to use them.<br /> <br /> == Application layout (GUI) ==<br /> <br /> The application is composed of a single window, whose elements are depicted in the image below:<br /> ;[[File:Annotationapp-0.0.1-screenshot.png]]<br /> <br /> == Application usage ==<br /> <br /> The tool supports loading multiple images, which allows to annotate a set of images and later save all the pending changes. To do so, the annotator must select multiple input files.<br /> #*;[[File:Annotationapp-0.0.1-multiplefiles.png|left|thumb|File selection]]<br /> <br /> If an image has already been annotated, its annotations will be automatically loaded. Otherwise, an empty set of annotations will be displayed. When the annotator updates the current set of annotations, the tool will inform that the changes are not synchronized with the cloud using the following icons:<br /> * Changes have been stored [[File:Annotationapp-0.0.1-savedicon.png|30px]]<br /> * Changes have not been stored [[File:Annotationapp-0.0.1-notsavedicon.png|30px]]<br /> <br /> It is recommended to periodically save pending annotations. Also, in order to avoid the loss of data in the presence of application errors, avoid annotating in parallel a large set of images.<br /> <br /> The process of generating annotations is performed graphically over the image. The annotator must accurately select the area (bounding box) of each potential parasite (either positive, negative or uncertain) as follows:<br /> #*;[[File:Annotationapp-0.0.1-annotation.png|left|thumb|Screenshot of annotations]]<br /> <br /> Generating annotations will not be possible if the annotator has not selected the kind of parasite, the label (positive, negative, or uncertain) and the kind of sample. <br /> After saving, either a single image or a set of images, the application will inform of the successful storage. At this moment, the system has synchronized all the changes with the cloud repository. Nevertheless, it is important also to know that upon the loss of internet connection or any other error related to the synchronization with the cloud, the system locally maintains the files in an internal folder.<br /> <br /> #*;[[File:Annotationapp-0.0.1-successwindow.png|left|thumb|Screenshot of successful submission]]</div>

Besim http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=AnnotationApp:User_Guide&diff=493 2023-02-09T16:52:21Z

<p>Besim: /* Application usage */</p> <hr /> <div>[[Category:AnnotationApp:User Guide]]<br /> <br /> This is a step-by-step user guide for the Annotation App. It contains information on what each feature does and instructions on how to use them.<br /> <br /> == Application layout (GUI) ==<br /> <br /> The application is composed of a single window, whose elements are depicted in the image below:<br /> ;[[File:Annotationapp-0.0.1-screenshot.png]]<br /> <br /> == Application usage ==<br /> <br /> The tool supports loading multiple images, which allows to annotate a set of images and later save all the pending changes. To do so, the annotator must select multiple input files.<br /> ;[[File:Annotationapp-0.0.1-multiplefiles.png|left|thumb|File selection]]<br /> <br /> If an image has already been annotated, its annotations will be automatically loaded. Otherwise, an empty set of annotations will be displayed. When the annotator updates the current set of annotations, the tool will inform that the changes are not synchronized with the cloud using the following icons:<br /> * Changes have been stored [[File:Annotationapp-0.0.1-savedicon.png|30px]]<br /> * Changes have not been stored [[File:Annotationapp-0.0.1-notsavedicon.png|30px]]<br /> <br /> It is recommended to periodically save pending annotations. Also, in order to avoid the loss of data in the presence of application errors, avoid annotating in parallel a large set of images.<br /> <br /> The process of generating annotations is performed graphically over the image. The annotator must accurately select the area (bounding box) of each potential parasite (either positive, negative or uncertain) as follows:<br /> ;[[File:Annotationapp-0.0.1-annotation.png|left|thumb|Screenshot of annotations]]<br /> <br /> Generating annotations will not be possible if the annotator has not selected the kind of parasite, the label (positive, negative, or uncertain) and the kind of sample. <br /> After saving, either a single image or a set of images, the application will inform of the successful storage. At this moment, the system has synchronized all the changes with the cloud repository. Nevertheless, it is important also to know that upon the loss of internet connection or any other error related to the synchronization with the cloud, the system locally maintains the files in an internal folder.<br /> <br /> ;[[File:Annotationapp-0.0.1-successwindow.png|left|thumb|Screenshot of successful submission]]</div>

Besim http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=AnnotationApp:User_Guide&diff=492 2023-02-09T16:51:04Z

<p>Besim: /* Application usage */</p> <hr /> <div>[[Category:AnnotationApp:User Guide]]<br /> <br /> This is a step-by-step user guide for the Annotation App. It contains information on what each feature does and instructions on how to use them.<br /> <br /> == Application layout (GUI) ==<br /> <br /> The application is composed of a single window, whose elements are depicted in the image below:<br /> ;[[File:Annotationapp-0.0.1-screenshot.png]]<br /> <br /> == Application usage ==<br /> <br /> The tool supports loading multiple images, which allows to annotate a set of images and later save all the pending changes. To do so, the annotator must select multiple input files.<br /> &lt;!--;[[File:Image_here.png|left|thumb|File selection]]--&gt;<br /> ;[[File:Annotationapp-0.0.1-multiplefiles.png|left|thumb|File selection]]<br /> <br /> If an image has already been annotated, its annotations will be automatically loaded. Otherwise, an empty set of annotations will be displayed. When the annotator updates the current set of annotations, the tool will inform that the changes are not synchronized with the cloud using the following icons:<br /> * Changes have been stored [[File:Annotationapp-0.0.1-savedicon.png|30px]]<br /> * Changes have not been stored [[File:Annotationapp-0.0.1-notsavedicon.png|30px]]<br /> <br /> It is recommended to periodically save pending annotations. Also, in order to avoid the loss of data in the presence of application errors, avoid annotating in parallel a large set of images.<br /> <br /> The process of generating annotations is performed graphically over the image. The annotator must accurately select the area (bounding box) of each potential parasite (either positive, negative or uncertain) as follows:<br /> &lt;!--;[[File:Image_here.png|left|thumb|Screenshot of annotations]]--&gt;<br /> ;[[File:Image_here.png]]<br /> Generating annotations will not be possible if the annotator has not selected the kind of parasite, the label (positive, negative, or uncertain) and the kind of sample. <br /> After saving, either a single image or a set of images, the application will inform of the successful storage. At this moment, the system has synchronized all the changes with the cloud repository. Nevertheless, it is important also to know that upon the loss of internet connection or any other error related to the synchronization with the cloud, the system locally maintains the files in an internal folder.<br /> <br /> &lt;!--;[[File:Image_here.png|left|thumb|Screenshot of successful submission]]--&gt;<br /> ;[[File:Image_here.png]]</div>

Besim http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=AnnotationApp:User_Guide&diff=491 2023-02-09T16:50:51Z

<p>Besim: /* Application usage */</p> <hr /> <div>[[Category:AnnotationApp:User Guide]]<br /> <br /> This is a step-by-step user guide for the Annotation App. It contains information on what each feature does and instructions on how to use them.<br /> <br /> == Application layout (GUI) ==<br /> <br /> The application is composed of a single window, whose elements are depicted in the image below:<br /> ;[[File:Annotationapp-0.0.1-screenshot.png]]<br /> <br /> == Application usage ==<br /> <br /> The tool supports loading multiple images, which allows to annotate a set of images and later save all the pending changes. To do so, the annotator must select multiple input files.<br /> &lt;!--;[[File:Image_here.png|left|thumb|File selection]]--&gt;<br /> ;[[File:Annotationapp-0.0.1-multiplefiles.png|left|thumb|File selection]]<br /> <br /> If an image has already been annotated, its annotations will be automatically loaded. Otherwise, an empty set of annotations will be displayed. When the annotator updates the current set of annotations, the tool will inform that the changes are not synchronized with the cloud using the following icons:<br /> * Changes have been stored [[File:Annotationapp-0.0.1-savedicon.png|30px]]<br /> * Changes have not been stored [[File:Annotationapp-0.0.1-unsavedicon.png|30px]]<br /> <br /> It is recommended to periodically save pending annotations. Also, in order to avoid the loss of data in the presence of application errors, avoid annotating in parallel a large set of images.<br /> <br /> The process of generating annotations is performed graphically over the image. The annotator must accurately select the area (bounding box) of each potential parasite (either positive, negative or uncertain) as follows:<br /> &lt;!--;[[File:Image_here.png|left|thumb|Screenshot of annotations]]--&gt;<br /> ;[[File:Image_here.png]]<br /> Generating annotations will not be possible if the annotator has not selected the kind of parasite, the label (positive, negative, or uncertain) and the kind of sample. <br /> After saving, either a single image or a set of images, the application will inform of the successful storage. At this moment, the system has synchronized all the changes with the cloud repository. Nevertheless, it is important also to know that upon the loss of internet connection or any other error related to the synchronization with the cloud, the system locally maintains the files in an internal folder.<br /> <br /> &lt;!--;[[File:Image_here.png|left|thumb|Screenshot of successful submission]]--&gt;<br /> ;[[File:Image_here.png]]</div>

Besim http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=AnnotationApp:User_Guide&diff=490 2023-02-09T16:50:24Z

<p>Besim: /* Application usage */</p> <hr /> <div>[[Category:AnnotationApp:User Guide]]<br /> <br /> This is a step-by-step user guide for the Annotation App. It contains information on what each feature does and instructions on how to use them.<br /> <br /> == Application layout (GUI) ==<br /> <br /> The application is composed of a single window, whose elements are depicted in the image below:<br /> ;[[File:Annotationapp-0.0.1-screenshot.png]]<br /> <br /> == Application usage ==<br /> <br /> The tool supports loading multiple images, which allows to annotate a set of images and later save all the pending changes. To do so, the annotator must select multiple input files.<br /> &lt;!--;[[File:Image_here.png|left|thumb|File selection]]--&gt;<br /> ;[[File:Annotationapp-0.0.1-multiplefiles.png|left|thumb|File selection]]<br /> <br /> If an image has already been annotated, its annotations will be automatically loaded. Otherwise, an empty set of annotations will be displayed. When the annotator updates the current set of annotations, the tool will inform that the changes are not synchronized with the cloud using the following icons:<br /> * Changes have been stored [[File:Annotationapp-0.0.1-savedicon.png|50px]] [icon missing]<br /> * Changes have not been stored [icon missing]<br /> <br /> It is recommended to periodically save pending annotations. Also, in order to avoid the loss of data in the presence of application errors, avoid annotating in parallel a large set of images.<br /> <br /> The process of generating annotations is performed graphically over the image. The annotator must accurately select the area (bounding box) of each potential parasite (either positive, negative or uncertain) as follows:<br /> &lt;!--;[[File:Image_here.png|left|thumb|Screenshot of annotations]]--&gt;<br /> ;[[File:Image_here.png]]<br /> Generating annotations will not be possible if the annotator has not selected the kind of parasite, the label (positive, negative, or uncertain) and the kind of sample. <br /> After saving, either a single image or a set of images, the application will inform of the successful storage. At this moment, the system has synchronized all the changes with the cloud repository. Nevertheless, it is important also to know that upon the loss of internet connection or any other error related to the synchronization with the cloud, the system locally maintains the files in an internal folder.<br /> <br /> &lt;!--;[[File:Image_here.png|left|thumb|Screenshot of successful submission]]--&gt;<br /> ;[[File:Image_here.png]]</div>

Besim http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=AnnotationApp:User_Guide&diff=489 2023-02-09T16:48:26Z

<p>Besim: /* Application usage */</p> <hr /> <div>[[Category:AnnotationApp:User Guide]]<br /> <br /> This is a step-by-step user guide for the Annotation App. It contains information on what each feature does and instructions on how to use them.<br /> <br /> == Application layout (GUI) ==<br /> <br /> The application is composed of a single window, whose elements are depicted in the image below:<br /> ;[[File:Annotationapp-0.0.1-screenshot.png]]<br /> <br /> == Application usage ==<br /> <br /> The tool supports loading multiple images, which allows to annotate a set of images and later save all the pending changes. To do so, the annotator must select multiple input files.<br /> &lt;!--;[[File:Image_here.png|left|thumb|File selection]]--&gt;<br /> ;[[File:Annotationapp-0.0.1-multiplefiles.png|left|thumb|File selection]]<br /> <br /> If an image has already been annotated, its annotations will be automatically loaded. Otherwise, an empty set of annotations will be displayed. When the annotator updates the current set of annotations, the tool will inform that the changes are not synchronized with the cloud using the following icons:<br /> * Changes have been stored [icon missing]<br /> * Changes have not been stored [icon missing]<br /> <br /> It is recommended to periodically save pending annotations. Also, in order to avoid the loss of data in the presence of application errors, avoid annotating in parallel a large set of images.<br /> <br /> The process of generating annotations is performed graphically over the image. The annotator must accurately select the area (bounding box) of each potential parasite (either positive, negative or uncertain) as follows:<br /> &lt;!--;[[File:Image_here.png|left|thumb|Screenshot of annotations]]--&gt;<br /> ;[[File:Image_here.png]]<br /> Generating annotations will not be possible if the annotator has not selected the kind of parasite, the label (positive, negative, or uncertain) and the kind of sample. <br /> After saving, either a single image or a set of images, the application will inform of the successful storage. At this moment, the system has synchronized all the changes with the cloud repository. Nevertheless, it is important also to know that upon the loss of internet connection or any other error related to the synchronization with the cloud, the system locally maintains the files in an internal folder.<br /> <br /> &lt;!--;[[File:Image_here.png|left|thumb|Screenshot of successful submission]]--&gt;<br /> ;[[File:Image_here.png]]</div>

Besim http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=File:Annotationapp-0.0.1-multiplefiles.png&diff=488 2023-02-09T16:47:09Z

<p>Besim: </p> <hr /> <div></div>

Besim http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=File:Annotationapp-0.0.1-savedicon.png&diff=487 2023-02-09T16:47:01Z

<p>Besim: </p> <hr /> <div></div>

Besim http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=File:Annotationapp-0.0.1-notsavedicon.png&diff=486 2023-02-09T16:46:52Z

<p>Besim: </p> <hr /> <div></div>

Besim http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=File:Annotationapp-0.0.1-annotation.png&diff=485 2023-02-09T16:46:42Z

<p>Besim: </p> <hr /> <div></div>

Besim http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=File:Annotationapp-0.0.1-successwindow.png&diff=484 2023-02-09T16:46:26Z

<p>Besim: </p> <hr /> <div></div>

Besim http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=AnnotationApp:User_Guide&diff=367 2023-01-26T13:57:46Z

<p>Besim: /* Application usage */</p> <hr /> <div>This is a step-by-step user guide for the Annotation App. It contains information on what each feature does and instructions on how to use them.<br /> <br /> == Application layout (GUI) ==<br /> <br /> The application is composed of a single window, whose elements are depicted in the image below:<br /> ;[[File:Annotationapp-0.0.1-screenshot.png]]<br /> <br /> == Application usage ==<br /> <br /> The tool supports loading multiple images, which allows to annotate a set of images and later save all the pending changes. To do so, the annotator must select multiple input files.<br /> &lt;!--;[[File:Image_here.png|left|thumb|File selection]]--&gt;<br /> ;[[File:Image_here.png]]<br /> <br /> If an image has already been annotated, its annotations will be automatically loaded. Otherwise, an empty set of annotations will be displayed. When the annotator updates the current set of annotations, the tool will inform that the changes are not synchronized with the cloud using the following icons:<br /> * Changes have been stored [icon missing]<br /> * Changes have not been stored [icon missing]<br /> <br /> It is recommended to periodically save pending annotations. Also, in order to avoid the loss of data in the presence of application errors, avoid annotating in parallel a large set of images.<br /> <br /> The process of generating annotations is performed graphically over the image. The annotator must accurately select the area (bounding box) of each potential parasite (either positive, negative or uncertain) as follows:<br /> &lt;!--;[[File:Image_here.png|left|thumb|Screenshot of annotations]]--&gt;<br /> ;[[File:Image_here.png]]<br /> Generating annotations will not be possible if the annotator has not selected the kind of parasite, the label (positive, negative, or uncertain) and the kind of sample. <br /> After saving, either a single image or a set of images, the application will inform of the successful storage. At this moment, the system has synchronized all the changes with the cloud repository. Nevertheless, it is important also to know that upon the loss of internet connection or any other error related to the synchronization with the cloud, the system locally maintains the files in an internal folder.<br /> <br /> &lt;!--;[[File:Image_here.png|left|thumb|Screenshot of successful submission]]--&gt;<br /> ;[[File:Image_here.png]]</div>

Besim http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=AnnotationApp:User_Guide&diff=366 2023-01-26T13:57:25Z

<p>Besim: /* Application usage */</p> <hr /> <div>This is a step-by-step user guide for the Annotation App. It contains information on what each feature does and instructions on how to use them.<br /> <br /> == Application layout (GUI) ==<br /> <br /> The application is composed of a single window, whose elements are depicted in the image below:<br /> ;[[File:Annotationapp-0.0.1-screenshot.png]]<br /> <br /> == Application usage ==<br /> <br /> The tool supports loading multiple images, which allows to annotate a set of images and later save all the pending changes. To do so, the annotator must select multiple input files.<br /> &lt;!--;[[File:Image_here.png|left|thumb|File selection]]--&gt;<br /> [[File:Image_here.png]]<br /> <br /> If an image has already been annotated, its annotations will be automatically loaded. Otherwise, an empty set of annotations will be displayed. When the annotator updates the current set of annotations, the tool will inform that the changes are not synchronized with the cloud using the following icons:<br /> * Changes have been stored [icon missing]<br /> * Changes have not been stored [icon missing]<br /> <br /> It is recommended to periodically save pending annotations. Also, in order to avoid the loss of data in the presence of application errors, avoid annotating in parallel a large set of images.<br /> <br /> The process of generating annotations is performed graphically over the image. The annotator must accurately select the area (bounding box) of each potential parasite (either positive, negative or uncertain) as follows:<br /> &lt;!--;[[File:Image_here.png|left|thumb|Screenshot of annotations]]--&gt;<br /> <br /> Generating annotations will not be possible if the annotator has not selected the kind of parasite, the label (positive, negative, or uncertain) and the kind of sample. <br /> After saving, either a single image or a set of images, the application will inform of the successful storage. At this moment, the system has synchronized all the changes with the cloud repository. Nevertheless, it is important also to know that upon the loss of internet connection or any other error related to the synchronization with the cloud, the system locally maintains the files in an internal folder.<br /> <br /> &lt;!--;[[File:Image_here.png|left|thumb|Screenshot of successful submission]]--&gt;</div>

Besim http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=AnnotationApp:User_Guide&diff=365 2023-01-26T13:54:34Z

<p>Besim: </p> <hr /> <div>This is a step-by-step user guide for the Annotation App. It contains information on what each feature does and instructions on how to use them.<br /> <br /> == Application layout (GUI) ==<br /> <br /> The application is composed of a single window, whose elements are depicted in the image below:<br /> ;[[File:Annotationapp-0.0.1-screenshot.png]]<br /> <br /> == Application usage ==<br /> <br /> The tool supports loading multiple images, which allows to annotate a set of images and later save all the pending changes. To do so, the annotator must select multiple input files.<br /> ;[[File:Image_here.png|left|thumb|File selection]]<br /> <br /> If an image has already been annotated, its annotations will be automatically loaded. Otherwise, an empty set of annotations will be displayed. When the annotator updates the current set of annotations, the tool will inform that the changes are not synchronized with the cloud using the following icons:<br /> * Changes have been stored [icon missing]<br /> * Changes have not been stored [icon missing]<br /> <br /> It is recommended to periodically save pending annotations. Also, in order to avoid the loss of data in the presence of application errors, avoid annotating in parallel a large set of images.<br /> <br /> The process of generating annotations is performed graphically over the image. The annotator must accurately select the area (bounding box) of each potential parasite (either positive, negative or uncertain) as follows:<br /> ;[[File:Image_here.png|left|thumb|Screenshot of annotations]]<br /> <br /> Generating annotations will not be possible if the annotator has not selected the kind of parasite, the label (positive, negative, or uncertain) and the kind of sample. <br /> After saving, either a single image or a set of images, the application will inform of the successful storage. At this moment, the system has synchronized all the changes with the cloud repository. Nevertheless, it is important also to know that upon the loss of internet connection or any other error related to the synchronization with the cloud, the system locally maintains the files in an internal folder.<br /> <br /> ;[[File:Image_here.png|left|thumb|Screenshot of successful submission]]</div>

Besim http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=AnnotationApp:User_Guide&diff=364 2023-01-26T13:54:06Z

<p>Besim: </p> <hr /> <div>This is a step-by-step user guide for the Annotation App. It contains information on what each feature does and instructions on how to use them.<br /> <br /> == Application layout (GUI) ==<br /> <br /> The application is composed of a single window, whose elements are depicted in the image below:<br /> ;[[File:Annotationapp-0.0.1-screenshot.png]]<br /> <br /> == Application usage ==<br /> <br /> The tool supports loading multiple images, which allows to annotate a set of images and later save all the pending changes. To do so, the annotator must select multiple input files.<br /> [[File:Image_here.png|left|thumb|File selection]]<br /> <br /> If an image has already been annotated, its annotations will be automatically loaded. Otherwise, an empty set of annotations will be displayed. When the annotator updates the current set of annotations, the tool will inform that the changes are not synchronized with the cloud using the following icons:<br /> * Changes have been stored [icon missing]<br /> * Changes have not been stored [icon missing]<br /> <br /> It is recommended to periodically save pending annotations. Also, in order to avoid the loss of data in the presence of application errors, avoid annotating in parallel a large set of images.<br /> <br /> The process of generating annotations is performed graphically over the image. The annotator must accurately select the area (bounding box) of each potential parasite (either positive, negative or uncertain) as follows:<br /> [[File:Image_here.png|left|thumb|Screenshot of annotations]]<br /> <br /> Generating annotations will not be possible if the annotator has not selected the kind of parasite, the label (positive, negative, or uncertain) and the kind of sample. <br /> After saving, either a single image or a set of images, the application will inform of the successful storage. At this moment, the system has synchronized all the changes with the cloud repository. Nevertheless, it is important also to know that upon the loss of internet connection or any other error related to the synchronization with the cloud, the system locally maintains the files in an internal folder.<br /> <br /> [[File:Image_here.png|left|thumb|Screenshot of successful submission]]</div>

Besim http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=AnnotationApp:User_Guide&diff=363 2023-01-26T13:50:20Z

<p>Besim: </p> <hr /> <div>This is a step-by-step user guide for the Annotation App. It contains information on what each feature does and instructions on how to use them.<br /> <br /> == Application layout (GUI) ==<br /> <br /> The application is composed of a single window, whose elements are depicted in the image below:<br /> ;[[File:Annotationapp-0.0.1-screenshot.png]]<br /> <br /> == Application usage ==<br /> <br /> The tool supports loading multiple images, which allows to annotate a set of images and later save all the pending changes. To do so, the annotator must select multiple input files.<br /> [[File:]][FILE MISSING]<br /> <br /> If an image has already been annotated, its annotations will be automatically loaded. Otherwise, an empty set of annotations will be displayed. When the annotator updates the current set of annotations, the tool will inform that the changes are not synchronized with the cloud using the following icons:<br /> * Changes have been stored [icon missing]<br /> * Changes have not been stored [icon missing]<br /> <br /> It is recommended to periodically save pending annotations. Also, in order to avoid the loss of data in the presence of application errors, avoid annotating in parallel a large set of images.<br /> <br /> The process of generating annotations is performed graphically over the image. The annotator must accurately select the area (bounding box) of each potential parasite (either positive, negative or uncertain) as follows:<br /> [[File:]] [FILE MISSING]<br /> <br /> Generating annotations will not be possible if the annotator has not selected the kind of parasite, the label (positive, negative, or uncertain) and the kind of sample. <br /> After saving, either a single image or a set of images, the application will inform of the successful storage. At this moment, the system has synchronized all the changes with the cloud repository. Nevertheless, it is important also to know that upon the loss of internet connection or any other error related to the synchronization with the cloud, the system locally maintains the files in an internal folder.<br /> <br /> [[File:]] [FILE MISSING]</div>

Besim http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=AnnotationApp:User_Guide&diff=361 2023-01-26T13:43:44Z

<p>Besim: </p> <hr /> <div>This is a step-by-step user guide for the Annotation App. It contains information on what each feature does and instructions on how to use them.<br /> <br /> == Graphical User Interface ==<br /> <br /> The application is composed of a single window, whose elements are depicted in the image below:<br /> ;[[File:Annotationapp-0.0.1-screenshot.png]]<br /> <br /> == ?? ==</div>

Besim http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=AnnotationApp:Installation_and_Upgrades&diff=360 2023-01-26T13:42:17Z

<p>Besim: </p> <hr /> <div>This is a step-by-step installation guide for the Annotation App.<br /> <br /> == Pre-requisites ==<br /> #Internet connection: In order to work with the Annotation App you need to be connected to the Internet at all times.<br /> #Python 3: The Annotation App is developed in Python 3, thus you need to have it installed in your computer to work with it. See below how to [[Images:Annotation_App#Install Python 3#|install Python 3]].<br /> #Annotation App: You need to download the Annotation App to your local file system. See below how to [[Images:Annotation_App#Download and run Annotation App| download and run the Annotation App]].<br /> <br /> == Install Python 3 ==<br /> # Download the Windows installer for Python 3 using the following link:<br /> #* https://www.python.org/ftp/python/3.8.7/python-3.8.7-amd64.exe<br /> # Double click on the downloaded file to start the installation process. You will be prompted with the following screenshot:<br /> #* Make sure to click on the check boxes: &quot;Install launcher for all users&quot; and &quot;Add Python 3.8 to PATH&quot;.<br /> #*;[[File:Python-installation-screenshot.png]]<br /> # Click on &quot;Install Now&quot; and follow the steps until you are confirmed that the installation has been completed successfully.<br /> #* In case of issues refer to this [https://www.python.org/downloads/windows/ page] for more help.<br /> <br /> == Download and run the Annotation App ==<br /> Follow the instructions below to download and start the AnnotationApp<br /> #Download the AnnotationApp using the following link:<br /> #*https://github.com/dtim-upc/IMAGING<br /> #*Click on &quot;Code&quot; and then &quot;Download ZIP&quot; as shown in the screenshot below.<br /> #*;[[File:Annotationapp-download-screenshot.png]]<br /> #Unzip the downloaded file to your preferred location.<br /> #*Right click on top of the file and click &quot;Extract here&quot;.<br /> #Double-click on the unzipped folder and enter the &quot;AnnotationApp&quot; folder.<br /> #*[ONLY IN THE VERY FIRST USE OF THE APP] Double-click on the &quot;install-reqired-libraries.bat&quot; program to install the necessary libraries. This operation needs to be performed only once.<br /> #Run the AnnotationApp double-clicking on the program &quot;start-AnnotationApp.bat&quot;</div>

Besim http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=AnnotationApp:Installation_and_Upgrades&diff=359 2023-01-26T13:40:46Z

<p>Besim: </p> <hr /> <div><br /> === Pre-requisites ===<br /> #Internet connection: In order to work with the Annotation App you need to be connected to the Internet at all times.<br /> #Python 3: The Annotation App is developed in Python 3, thus you need to have it installed in your computer to work with it. See below how to [[Images:Annotation_App#Install Python 3#|install Python 3]].<br /> #Annotation App: You need to download the Annotation App to your local file system. See below how to [[Images:Annotation_App#Download and run Annotation App| download and run the Annotation App]].<br /> <br /> === Install Python 3 ===<br /> # Download the Windows installer for Python 3 using the following link:<br /> #* https://www.python.org/ftp/python/3.8.7/python-3.8.7-amd64.exe<br /> # Double click on the downloaded file to start the installation process. You will be prompted with the following screenshot:<br /> #* Make sure to click on the check boxes: &quot;Install launcher for all users&quot; and &quot;Add Python 3.8 to PATH&quot;.<br /> #*;[[File:Python-installation-screenshot.png]]<br /> # Click on &quot;Install Now&quot; and follow the steps until you are confirmed that the installation has been completed successfully.<br /> #* In case of issues refer to this [https://www.python.org/downloads/windows/ page] for more help.<br /> <br /> === Download and run the Annotation App ===<br /> Follow the instructions below to download and start the AnnotationApp<br /> #Download the AnnotationApp using the following link:<br /> #*https://github.com/dtim-upc/IMAGING<br /> #*Click on &quot;Code&quot; and then &quot;Download ZIP&quot; as shown in the screenshot below.<br /> #*;[[File:Annotationapp-download-screenshot.png]]<br /> #Unzip the downloaded file to your preferred location.<br /> #*Right click on top of the file and click &quot;Extract here&quot;.<br /> #Double-click on the unzipped folder and enter the &quot;AnnotationApp&quot; folder.<br /> #*[ONLY IN THE VERY FIRST USE OF THE APP] Double-click on the &quot;install-reqired-libraries.bat&quot; program to install the necessary libraries. This operation needs to be performed only once.<br /> #Run the AnnotationApp double-clicking on the program &quot;start-AnnotationApp.bat&quot;</div>

Besim http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=AnnotationApp:User_Guide&diff=358 2023-01-26T13:40:29Z

<p>Besim: Created page with &quot;The application is composed of a single window, whose elements are depicted in the image below: ;File:Annotationapp-0.0.1-screenshot.png&quot;</p> <hr /> <div>The application is composed of a single window, whose elements are depicted in the image below:<br /> ;[[File:Annotationapp-0.0.1-screenshot.png]]</div>

Besim http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=AnnotationApp:Main&diff=357 2023-01-26T13:40:18Z

<p>Besim: /* User Guide */</p> <hr /> <div>Annotation App is a tool developed to support the process of annotating microscopic images of blood samples. It offers basic functionalities to highlight parts of the image and label them using pre-defined annotations. For instance, in the case of Malaria one can mark the different kinds of parasites appearing in the image and label them. The result of the labeling allows the creation of a training dataset that can be used to train machine learning models.<br /> <br /> ==Installation and Upgrades==<br /> <br /> The [[Annotation App:Installation and Upgrades|Installation and Upgrades]] page<br /> <br /> ==User Guide==<br /> <br /> The [[Annotation App:User Guide|User Guide]] page<br /> <br /> ==Backup and Restore==<br /> <br /> The [[Annotation App:Backup and Restore|Backup and Restore]] page</div>

Besim http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=AnnotationApp:Main&diff=356 2023-01-26T13:39:48Z

<p>Besim: /* User Guide */</p> <hr /> <div>Annotation App is a tool developed to support the process of annotating microscopic images of blood samples. It offers basic functionalities to highlight parts of the image and label them using pre-defined annotations. For instance, in the case of Malaria one can mark the different kinds of parasites appearing in the image and label them. The result of the labeling allows the creation of a training dataset that can be used to train machine learning models.<br /> <br /> ==Installation and Upgrades==<br /> <br /> The [[Annotation App:Installation and Upgrades|Installation and Upgrades]] page<br /> <br /> ==User Guide==<br /> <br /> The [[Annotation App:User Guide|User Guide]] page<br /> <br /> The application is composed of a single window, whose elements are depicted in the image below:<br /> ;[[File:Annotationapp-0.0.1-screenshot.png]]<br /> <br /> ==Backup and Restore==<br /> <br /> The [[Annotation App:Backup and Restore|Backup and Restore]] page</div>

Besim http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=AnnotationApp:Installation_and_Upgrades&diff=355 2023-01-26T13:39:12Z

<p>Besim: Created page with &quot; === Pre-requisites === #Internet connection: In order to work with the Annotation App you need to be connected to the Internet at all times. #Python 3: The Annotation App is developed in Python 3, thus you need to have it installed in your computer to work with it. See below how to install Python 3. #Annotation App: You need to download the Annotation App to your local file system. See below how to Images:Annotation_App#Dow...&quot;</p> <hr /> <div><br /> <br /> === Pre-requisites ===<br /> #Internet connection: In order to work with the Annotation App you need to be connected to the Internet at all times.<br /> #Python 3: The Annotation App is developed in Python 3, thus you need to have it installed in your computer to work with it. See below how to [[Images:Annotation_App#Install Python 3#|install Python 3]].<br /> #Annotation App: You need to download the Annotation App to your local file system. See below how to [[Images:Annotation_App#Download and run Annotation App| download and run the Annotation App]].<br /> <br /> === Install Python 3 ===<br /> # Download the Windows installer for Python 3 using the following link:<br /> #* https://www.python.org/ftp/python/3.8.7/python-3.8.7-amd64.exe<br /> # Double click on the downloaded file to start the installation process. You will be prompted with the following screenshot:<br /> #* Make sure to click on the check boxes: &quot;Install launcher for all users&quot; and &quot;Add Python 3.8 to PATH&quot;.<br /> #*;[[File:Python-installation-screenshot.png]]<br /> # Click on &quot;Install Now&quot; and follow the steps until you are confirmed that the installation has been completed successfully.<br /> #* In case of issues refer to this [https://www.python.org/downloads/windows/ page] for more help.<br /> <br /> === Download and run the Annotation App ===<br /> Follow the instructions below to download and start the AnnotationApp<br /> #Download the AnnotationApp using the following link:<br /> #*https://github.com/dtim-upc/IMAGING<br /> #*Click on &quot;Code&quot; and then &quot;Download ZIP&quot; as shown in the screenshot below.<br /> #*;[[File:Annotationapp-download-screenshot.png]]<br /> #Unzip the downloaded file to your preferred location.<br /> #*Right click on top of the file and click &quot;Extract here&quot;.<br /> #Double-click on the unzipped folder and enter the &quot;AnnotationApp&quot; folder.<br /> #*[ONLY IN THE VERY FIRST USE OF THE APP] Double-click on the &quot;install-reqired-libraries.bat&quot; program to install the necessary libraries. This operation needs to be performed only once.<br /> #Run the AnnotationApp double-clicking on the program &quot;start-AnnotationApp.bat&quot;</div>

Besim http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=AnnotationApp:Main&diff=354 2023-01-26T13:39:06Z

<p>Besim: /* Installation and Upgrades */</p> <hr /> <div>Annotation App is a tool developed to support the process of annotating microscopic images of blood samples. It offers basic functionalities to highlight parts of the image and label them using pre-defined annotations. For instance, in the case of Malaria one can mark the different kinds of parasites appearing in the image and label them. The result of the labeling allows the creation of a training dataset that can be used to train machine learning models.<br /> <br /> ==Installation and Upgrades==<br /> <br /> The [[Annotation App:Installation and Upgrades|Installation and Upgrades]] page<br /> <br /> ==User Guide==<br /> <br /> The application is composed of a single window, whose elements are depicted in the image below:<br /> ;[[File:Annotationapp-0.0.1-screenshot.png]]<br /> <br /> ==Backup and Restore==<br /> <br /> The [[Annotation App:Backup and Restore|Backup and Restore]] page</div>

Besim http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=AnnotationApp:Main&diff=353 2023-01-26T13:38:53Z

<p>Besim: /* Installation and Upgrades */</p> <hr /> <div>Annotation App is a tool developed to support the process of annotating microscopic images of blood samples. It offers basic functionalities to highlight parts of the image and label them using pre-defined annotations. For instance, in the case of Malaria one can mark the different kinds of parasites appearing in the image and label them. The result of the labeling allows the creation of a training dataset that can be used to train machine learning models.<br /> <br /> ==Installation and Upgrades==<br /> <br /> The [[Annotation App:Installation and Upgrades|Installation and Upgrades]] page<br /> <br /> <br /> === Pre-requisites ===<br /> #Internet connection: In order to work with the Annotation App you need to be connected to the Internet at all times.<br /> #Python 3: The Annotation App is developed in Python 3, thus you need to have it installed in your computer to work with it. See below how to [[Images:Annotation_App#Install Python 3#|install Python 3]].<br /> #Annotation App: You need to download the Annotation App to your local file system. See below how to [[Images:Annotation_App#Download and run Annotation App| download and run the Annotation App]].<br /> <br /> === Install Python 3 ===<br /> # Download the Windows installer for Python 3 using the following link:<br /> #* https://www.python.org/ftp/python/3.8.7/python-3.8.7-amd64.exe<br /> # Double click on the downloaded file to start the installation process. You will be prompted with the following screenshot:<br /> #* Make sure to click on the check boxes: &quot;Install launcher for all users&quot; and &quot;Add Python 3.8 to PATH&quot;.<br /> #*;[[File:Python-installation-screenshot.png]]<br /> # Click on &quot;Install Now&quot; and follow the steps until you are confirmed that the installation has been completed successfully.<br /> #* In case of issues refer to this [https://www.python.org/downloads/windows/ page] for more help.<br /> <br /> === Download and run the Annotation App ===<br /> Follow the instructions below to download and start the AnnotationApp<br /> #Download the AnnotationApp using the following link:<br /> #*https://github.com/dtim-upc/IMAGING<br /> #*Click on &quot;Code&quot; and then &quot;Download ZIP&quot; as shown in the screenshot below.<br /> #*;[[File:Annotationapp-download-screenshot.png]]<br /> #Unzip the downloaded file to your preferred location.<br /> #*Right click on top of the file and click &quot;Extract here&quot;.<br /> #Double-click on the unzipped folder and enter the &quot;AnnotationApp&quot; folder.<br /> #*[ONLY IN THE VERY FIRST USE OF THE APP] Double-click on the &quot;install-reqired-libraries.bat&quot; program to install the necessary libraries. This operation needs to be performed only once.<br /> #Run the AnnotationApp double-clicking on the program &quot;start-AnnotationApp.bat&quot;<br /> <br /> ==User Guide==<br /> <br /> The application is composed of a single window, whose elements are depicted in the image below:<br /> ;[[File:Annotationapp-0.0.1-screenshot.png]]<br /> <br /> ==Backup and Restore==<br /> <br /> The [[Annotation App:Backup and Restore|Backup and Restore]] page</div>

Besim http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=AnnotationApp:Main&diff=352 2023-01-26T13:37:47Z

<p>Besim: Created page with &quot;Annotation App is a tool developed to support the process of annotating microscopic images of blood samples. It offers basic functionalities to highlight parts of the image and label them using pre-defined annotations. For instance, in the case of Malaria one can mark the different kinds of parasites appearing in the image and label them. The result of the labeling allows the creation of a training dataset that can be used to train machine learning models. ==Installatio...&quot;</p> <hr /> <div>Annotation App is a tool developed to support the process of annotating microscopic images of blood samples. It offers basic functionalities to highlight parts of the image and label them using pre-defined annotations. For instance, in the case of Malaria one can mark the different kinds of parasites appearing in the image and label them. The result of the labeling allows the creation of a training dataset that can be used to train machine learning models.<br /> <br /> ==Installation and Upgrades==<br /> <br /> === Pre-requisites ===<br /> #Internet connection: In order to work with the Annotation App you need to be connected to the Internet at all times.<br /> #Python 3: The Annotation App is developed in Python 3, thus you need to have it installed in your computer to work with it. See below how to [[Images:Annotation_App#Install Python 3#|install Python 3]].<br /> #Annotation App: You need to download the Annotation App to your local file system. See below how to [[Images:Annotation_App#Download and run Annotation App| download and run the Annotation App]].<br /> <br /> === Install Python 3 ===<br /> # Download the Windows installer for Python 3 using the following link:<br /> #* https://www.python.org/ftp/python/3.8.7/python-3.8.7-amd64.exe<br /> # Double click on the downloaded file to start the installation process. You will be prompted with the following screenshot:<br /> #* Make sure to click on the check boxes: &quot;Install launcher for all users&quot; and &quot;Add Python 3.8 to PATH&quot;.<br /> #*;[[File:Python-installation-screenshot.png]]<br /> # Click on &quot;Install Now&quot; and follow the steps until you are confirmed that the installation has been completed successfully.<br /> #* In case of issues refer to this [https://www.python.org/downloads/windows/ page] for more help.<br /> <br /> === Download and run the Annotation App ===<br /> Follow the instructions below to download and start the AnnotationApp<br /> #Download the AnnotationApp using the following link:<br /> #*https://github.com/dtim-upc/IMAGING<br /> #*Click on &quot;Code&quot; and then &quot;Download ZIP&quot; as shown in the screenshot below.<br /> #*;[[File:Annotationapp-download-screenshot.png]]<br /> #Unzip the downloaded file to your preferred location.<br /> #*Right click on top of the file and click &quot;Extract here&quot;.<br /> #Double-click on the unzipped folder and enter the &quot;AnnotationApp&quot; folder.<br /> #*[ONLY IN THE VERY FIRST USE OF THE APP] Double-click on the &quot;install-reqired-libraries.bat&quot; program to install the necessary libraries. This operation needs to be performed only once.<br /> #Run the AnnotationApp double-clicking on the program &quot;start-AnnotationApp.bat&quot;<br /> <br /> ==User Guide==<br /> <br /> The application is composed of a single window, whose elements are depicted in the image below:<br /> ;[[File:Annotationapp-0.0.1-screenshot.png]]<br /> <br /> ==Backup and Restore==<br /> <br /> The [[Annotation App:Backup and Restore|Backup and Restore]] page</div>

Besim http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=Main_Page&diff=351 2023-01-26T13:37:25Z

<p>Besim: </p> <hr /> <div>&lt;languages/&gt;<br /> &lt;translate&gt;<br /> <br /> &lt;!--T:1--&gt;<br /> [[File:Imaging-overview.png|500px|right|thumb|Imaging Overview]]<br /> <br /> &lt;!--T:2--&gt;<br /> &lt;p style=&quot;font-size:24px;&quot;&gt;&lt;strong&gt;For an improvement of Health through rapid, reliable and economic diagnosis (iH-rred)&lt;/strong&gt;&lt;/p&gt;<br /> <br /> &lt;!--T:3--&gt;<br /> The [[Global Laboratory Initiative]] (GLI) is a program set up by the [https://www.fundacionprobitas.org/en/home Probitas Foundation] in 2010 with the aim of reinforcing the capacities of clinical diagnostic laboratories in the most vulnerable regions of the world.<br /> As part of this big initiative Probitas promoted an [https://imaging.upc.edu/en initiative to create a platform to automate the diagnosis of Malaria and Neglected tropical diseases (NTDs)]. This pages contain information describing different hardware and software technologies involved in this project.<br /> <br /> &lt;!--T:4--&gt;<br /> __TOC__<br /> <br /> == &lt;span id=&quot;ARIS&quot;&gt;&lt;/span&gt;Analytical requests information system (ARIS) == &lt;!--T:5--&gt;<br /> [[ARIS:main|ARIS]] is a laboratory software system for managing and analyzing data related to patients, requests, diagnostics, and analytical tests.<br /> It offers basic functionalities and a simple interface that can be flexibly configured to support the main tasks of a small laboratory.<br /> <br /> == Autofocus microscope == &lt;!--T:6--&gt;<br /> [[Images:Microscope|Autofocus microscope]] is a set of hardware pieces connected to an Arduino engine that automate the image capture from samples.<br /> A mobile phone controls the movement of the plaque, and eventually get the images of the sample.<br /> <br /> === Mobile App === &lt;!--T:7--&gt;<br /> The [[Images:Mobile App|Mobile App]] is an open source software application to control the Arduino engines that move the plaque and focus the ocular of the microscope, as well as automatically take pictures of the sample.<br /> Eventually, the images taken with the app can be downloaded to the desktop application [[ARIS:main|ARIS]].<br /> <br /> == Annotation App == &lt;!--T:8--&gt;<br /> The [[Annotation App:Main|Annotation App]] is a software tool facilitating the annotation of images to create training datasets.<br /> Given an image of a sample, it allows to frame an object and indicate whether it is leucocyte, parasite, etc.<br /> Eventually, once we have enough tagged images, these are used to train a Neural Network that can automate the process with high precision.<br /> <br /> == Annotated images Data Lake == &lt;!--T:9--&gt;<br /> The [[Images:Data Lake|Data Lake]] is a repository of images with their corresponding annotations.<br /> This include the management software, as well as the necessary tools to extract some basic statistics and easily download subsets of images that can be used as a training set for Machine Learning.<br /> <br /> &lt;/translate&gt;</div>

Besim http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=Main_Page&diff=350 2023-01-26T13:36:37Z

<p>Besim: </p> <hr /> <div>&lt;languages/&gt;<br /> &lt;translate&gt;<br /> <br /> &lt;!--T:1--&gt;<br /> [[File:Imaging-overview.png|500px|right|thumb|Imaging Overview]]<br /> <br /> &lt;!--T:2--&gt;<br /> &lt;p style=&quot;font-size:24px;&quot;&gt;&lt;strong&gt;For an improvement of Health through rapid, reliable and economic diagnosis (iH-rred)&lt;/strong&gt;&lt;/p&gt;<br /> <br /> &lt;!--T:3--&gt;<br /> The [[Global Laboratory Initiative]] (GLI) is a program set up by the [https://www.fundacionprobitas.org/en/home Probitas Foundation] in 2010 with the aim of reinforcing the capacities of clinical diagnostic laboratories in the most vulnerable regions of the world.<br /> As part of this big initiative Probitas promoted an [https://imaging.upc.edu/en initiative to create a platform to automate the diagnosis of Malaria and Neglected tropical diseases (NTDs)]. This pages contain information describing different hardware and software technologies involved in this project.<br /> <br /> &lt;!--T:4--&gt;<br /> __TOC__<br /> <br /> == &lt;span id=&quot;ARIS&quot;&gt;&lt;/span&gt;Analytical requests information system (ARIS) == &lt;!--T:5--&gt;<br /> [[ARIS:main|ARIS]] is a laboratory software system for managing and analyzing data related to patients, requests, diagnostics, and analytical tests.<br /> It offers basic functionalities and a simple interface that can be flexibly configured to support the main tasks of a small laboratory.<br /> <br /> == Autofocus microscope == &lt;!--T:6--&gt;<br /> [[Images:Microscope|Autofocus microscope]] is a set of hardware pieces connected to an Arduino engine that automate the image capture from samples.<br /> A mobile phone controls the movement of the plaque, and eventually get the images of the sample.<br /> <br /> === Mobile App === &lt;!--T:7--&gt;<br /> The [[Images:Mobile App|Mobile App]] is an open source software application to control the Arduino engines that move the plaque and focus the ocular of the microscope, as well as automatically take pictures of the sample.<br /> Eventually, the images taken with the app can be downloaded to the desktop application [[ARIS:main|ARIS]].<br /> <br /> == Annotation App == &lt;!--T:8--&gt;<br /> The [[Annotation App:main|Annotation App]] is a software tool facilitating the annotation of images to create training datasets.<br /> Given an image of a sample, it allows to frame an object and indicate whether it is leucocyte, parasite, etc.<br /> Eventually, once we have enough tagged images, these are used to train a Neural Network that can automate the process with high precision.<br /> <br /> == Annotated images Data Lake == &lt;!--T:9--&gt;<br /> The [[Images:Data Lake|Data Lake]] is a repository of images with their corresponding annotations.<br /> This include the management software, as well as the necessary tools to extract some basic statistics and easily download subsets of images that can be used as a training set for Machine Learning.<br /> <br /> &lt;/translate&gt;</div>

Besim http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=File:Annotationapp-0.0.1-screenshot.png&diff=304 2023-01-26T09:44:43Z

<p>Besim: </p> <hr /> <div></div>

Besim http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=File:Annotationapp-download-screenshot.png&diff=300 2023-01-26T09:41:29Z

<p>Besim: </p> <hr /> <div></div>

Besim http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=File:Python-installation-screenshot.png&diff=281 2023-01-26T09:10:56Z

<p>Besim: </p> <hr /> <div></div>

Besim http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=Main_Page&diff=266 2023-01-26T08:44:36Z

<p>Besim: </p> <hr /> <div>&lt;languages/&gt;<br /> &lt;translate&gt;<br /> <br /> &lt;!--T:1--&gt;<br /> [[File:Imaging-overview.png|500px|right|thumb|Imaging Overview]]<br /> <br /> &lt;!--T:2--&gt;<br /> &lt;p style=&quot;font-size:24px;&quot;&gt;&lt;strong&gt;For an improvement of Health through rapid, reliable and economic diagnosis (iH-rred)&lt;/strong&gt;&lt;/p&gt;<br /> <br /> &lt;!--T:3--&gt;<br /> The [[Global Laboratory Initiative]] (GLI) is a program set up by the [https://www.fundacionprobitas.org/en/home Probitas Foundation] in 2010 with the aim of reinforcing the capacities of clinical diagnostic laboratories in the most vulnerable regions of the world.<br /> As part of this big initiative Probitas promoted an [https://imaging.upc.edu/en initiative to create a platform to automate the diagnosis of Malaria and Neglected tropical diseases (NTDs)]. This pages contain information describing different hardware and software technologies involved in this project.<br /> <br /> &lt;!--T:4--&gt;<br /> __TOC__<br /> <br /> == &lt;span id=&quot;ARIS&quot;&gt;&lt;/span&gt;Analytical requests information system (ARIS) == &lt;!--T:5--&gt;<br /> [[ARIS:main|ARIS]] is a laboratory software system for managing and analyzing data related to patients, requests, diagnostics, and analytical tests.<br /> It offers basic functionalities and a simple interface that can be flexibly configured to support the main tasks of a small laboratory.<br /> <br /> == Autofocus microscope == &lt;!--T:6--&gt;<br /> [[Images:Microscope|Autofocus microscope]] is a set of hardware pieces connected to an Arduino engine that automate the image capture from samples.<br /> A mobile phone controls the movement of the plaque, and eventually get the images of the sample.<br /> <br /> === Mobile App === &lt;!--T:7--&gt;<br /> The [[Images:Mobile App|Mobile App]] is an open source software application to control the Arduino engines that move the plaque and focus the ocular of the microscope, as well as automatically take pictures of the sample.<br /> Eventually, the images taken with the app can be downloaded to the desktop application [[ARIS:main|ARIS]].<br /> <br /> == Annotation App == &lt;!--T:8--&gt;<br /> The [[Images:Annotation App|Annotation App]] is a software tool facilitating the annotation of images to create training datasets.<br /> Given an image of a sample, it allows to frame an object and indicate whether it is leucocyte, parasite, etc.<br /> Eventually, once we have enough tagged images, these are used to train a Neural Network that can automate the process with high precision.<br /> <br /> == Annotated images Data Lake == &lt;!--T:9--&gt;<br /> The [[Images:Data Lake|Data Lake]] is a repository of images with their corresponding annotations.<br /> This include the management software, as well as the necessary tools to extract some basic statistics and easily download subsets of images that can be used as a training set for Machine Learning.<br /> <br /> &lt;/translate&gt;</div>

Besim