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Download README.md from KCVL/BigHand2.2M: direct link, hf CLI and curl.
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https://huggingface.co/datasets/KCVL/BigHand2.2M/resolve/main/README.md
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hf download hf://datasets/KCVL/BigHand2.2M/README.md
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curl -L -H "Authorization: Bearer $HF_TOKEN" -o README.md https://huggingface.co/datasets/KCVL/BigHand2.2M/resolve/main/README.md
1.18 kB
| 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. | |
| ``` |