The 2017 Hands in the Million Challenge on 3D Hand Pose Estimation
Paper • 1707.02237 • Published
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Check out the documentation for more information.
This folder contains the BigHand 2.2M dataset, which is organised as follows. Each subfolder (e.g. "Subject_1" or "Subject_7") contains the depth images for subjects 1 and 7. There are in total 12 subjects. Each subject subfolder is divided in other 7 subfolders (e.g. "1 75", "301 375", "451 496"). These numbers indicate the viewpoints contained in each folder (read [1] for more details). Some subjects have an additional folder named "ego", which stands for egocentric viewpoint. Subject 12 has only one folder.
"train_test_annotation" contains training and testing data split.
Unzip each folder before use and keep the same folder structure to match the annotations.
If using this dataset, please consider citing the following publications:
[1] S. Yuan, Q. Ye, B. Stenger, S. Jain, T.-K. Kim. BigHand2. 2M Benchmark: Hand Pose Dataset and State of the Art Analysis. CVPR 2017.
[2] S. Yuan, Q. Ye, G. Garcia-Hernando, T.-K. Kim. The 2017 Hands in the Million Challenge on 3D Hand Pose Estimation. arXiv:1707.02237.
[3] S. Yuan, G. Garcia-Hernando, B. Stenger, et al. Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals. CVPR 2018.
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