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video
video | label
class label 3
classes |
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0depth_cut
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0depth_cut
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0depth_cut
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0depth_cut
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0depth_cut
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0depth_cut
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0depth_cut
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0depth_cut
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0depth_cut
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0depth_cut
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1hand_cut
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1hand_cut
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1hand_cut
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1hand_cut
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1hand_cut
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1hand_cut
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1hand_cut
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1hand_cut
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1hand_cut
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1hand_cut
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2video_cut
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2video_cut
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2video_cut
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2video_cut
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2video_cut
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2video_cut
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2video_cut
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2video_cut
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2video_cut
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2video_cut
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Dataset Overview
This dataset includes 5 objects, with each object associated with 2 videos. Additionally, there are 8 individuals, and each person is combined with each video, resulting in a total of 80 test videos.
Directory Structure
video_cut: Contains the original videos.people_cut: Stores the 8 individual images.masked_object_cut: Includes images of the 5 objects.hand_cut: Features hand mesh extracted using Hamer.depth_cut: Contains object depth videos extracted using Vita.
File names across directories follow a consistent format to ensure accurate correspondence between individuals, objects, poses, and depth data.
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