…The images are labeled with different types of annotations such as segmentation labels, pose or 3D.
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…Each frame has a semantic segmentation of the objects in the scene and information about the camera pose. It is composed by 415 sequences captured in 254 different spaces, in 41 different buildings.
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…Each sample provides: RGB image (320x320 pixels) Depth map (320x320 pixels) Segmentation masks (320x320 pixels) for the classes: background, person, three classes for each finger and one for each palm
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…For each image, the dataset contains the 3D poses, per-pixel class segmentation, and 2D/3D bounding box coordinates for all objects.
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…Squats Bird Dogs Supermans Bicycle Crunches Leg Raises Front Raises (with dumbbells) Overhead Press (with dumbbells) Annotations The dataset includes the following annotations: Bounding boxes Segmentation
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