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@@ -12,13 +12,13 @@ Labelme is a graphical image annotation tool inspired by <http://labelme.csail.m
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It is written in Python and uses Qt for its graphical interface.
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It is written in Python and uses Qt for its graphical interface.
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<img src="https://github.com/wkentaro/labelme/blob/master/examples/instance_segmentation/.readme/annotation.jpg?raw=true" width="96%" />
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<img src="https://github.com/wkentaro/labelme/blob/master/examples/instance_segmentation/.readme/annotation.jpg?raw=true" width="96%" />
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-<i>Fig 1. Example of annotations for instance segmentation.</i>
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+<i>Fig 1. Annotation example of instance segmentation.</i>
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-<br/>
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-<br/>
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+<img src="https://github.com/wkentaro/labelme/blob/master/examples/instance_segmentation/data_dataset_voc/JPEGImages/2011_000006.jpg?raw=true" width="32%" /> <img src="https://github.com/wkentaro/labelme/blob/master/examples/instance_segmentation/data_dataset_voc/SegmentationClassVisualization/2011_000006.jpg?raw=true" width="32%" /> <img src="https://github.com/wkentaro/labelme/blob/master/examples/instance_segmentation/data_dataset_voc/SegmentationObjectVisualization/2011_000006.jpg?raw=true" width="32%" />
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+<i>Fig 2. VOC dataset example of instance segmentation.</i>
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<img src="https://github.com/wkentaro/labelme/raw/master/examples/semantic_segmentation/.readme/annotation.jpg?raw=true" width="30%" /> <img src="https://github.com/wkentaro/labelme/blob/master/examples/bbox_detection/.readme/annotation.jpg?raw=true" width="32%" /> <img src="https://github.com/wkentaro/labelme/blob/master/examples/classification/.readme/annotation_cat.jpg?raw=true" width="33%" />
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<img src="https://github.com/wkentaro/labelme/raw/master/examples/semantic_segmentation/.readme/annotation.jpg?raw=true" width="30%" /> <img src="https://github.com/wkentaro/labelme/blob/master/examples/bbox_detection/.readme/annotation.jpg?raw=true" width="32%" /> <img src="https://github.com/wkentaro/labelme/blob/master/examples/classification/.readme/annotation_cat.jpg?raw=true" width="33%" />
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-<i>Fig 2. Example of annotation of semantic segmentation (left), bbox detection (center), classification (right).</i>
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+<i>Fig 3. Other examples (semantic segmentation, bbox detection, and classification).</i>
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## Features
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## Features
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