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3D Hand Pose

Large-scale Multiview 3D Hand Pose Dataset

3D Hand Pose

We introduce a multiview hand pose dataset in which we provide color images of hands and different kind of annotations for each, i.e the bounding box and the 2D and 3D location on the joints in the hand. Besides, we introduce a simple yet accurate deep learning architecture for real-time robust 2D hand pose estimation.The dataset is structured by sequences. Inside each sequence you'll find the frames that compose it. A frame is composed of 4 color images, 4 sets of 2D joints as projected in each of the image planes, 4 bounding boxes, 1 set of 3D points as provided by the Leap Motion Controller and 4 sets of 3D points as reproejcted to each camera coordinate frame.

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ROVIT
https://rovit.com
Task
Object Detection
Annotation Types
Bounding Boxes
Items
Classes
Labels
Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
MIT
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