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--- |
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extra_gated_heading: Access FreeMan on Hugging Face |
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extra_gated_description: >- |
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This is a form to enable access to FreeMan on Hugging Face after you have been |
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granted access. |
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Please visit the [FreeMan Project Page](https://wangjiongw.github.io/freeman/) |
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and **complete [pre requisite procudures](https://wangjiongw.github.io/freeman/download.html) before confirming request here**. |
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Requests will be processed in 1-2 days. |
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extra_gated_prompt: >- |
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**Your Hugging Face account email address MUST match the email or Huggingface ID you provide on |
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the information backup forms matches the one filled in previous step, or your request will not be approved.** |
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**For who are in mainland China, you can also apply & download from [OpenDataLab](https://openxlab.org.cn/datasets/wangjiongwow/FreeMan/tree/main) for stable connection.** |
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**中国大陆的使用者可以考虑通过[OpenDataLab](https://openxlab.org.cn/datasets/wangjiongwow/FreeMan/tree/main)获取下载链接。** |
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**FreeMan Usage Agreement can be found on [our website](https://wangjiongw.github.io/freeman/download.html).** |
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extra_gated_fields: |
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Name: text |
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Institution: text |
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Email: text |
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I agree not to further copy, publish or distribute any portion of this dataset to any third party for any purpose: checkbox |
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I have already reviewed Usage Agreement at FreeMan website: checkbox |
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I understand FreeMan is for non-commercial research purpose ONLY: checkbox |
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extra_gated_button_content: Submit |
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license: cc-by-nc-nd-4.0 |
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language: |
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- en |
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tags: |
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- pose estimation |
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- computer vision |
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- 3d human |
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--- |
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# [FreeMan: Towards 3D Human Pose Estimation In the Wild](https://arxiv.org/abs/2309.05073) |
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<p align="left"> |
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<font size='4'> |
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<a href="https://wangjiongw.github.io/freeman" target="_blank">🌏 Project Page</a> • |
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<a href="https://wangjiongw.github.io/freeman/download.html" target="_blank">🙋♂️ <b>Download Procedure</b></a> • |
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<a href="https://arxiv.org/abs/2309.05073" target="_blank">📄 Paper </a> • |
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<a href="https://www.youtube.com/watch?v=g2h1YW-3n5k" target="_blank">▶️ YouTube </a> • |
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<a href="https://github.com/wangjiongw/FreeMan_API" target="_blank">🖥️ Code </a> |
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</font> |
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</p> |
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--- |
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This is official release of FreeMan dataset. To access the dataset, please submit previous steps at **[HERE](https://wangjiongw.github.io/freeman/download.html)**. |
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**[❗️❗️❗️] MAKE SURE you finish required steps [HERE](https://wangjiongw.github.io/freeman/download.html) before apply dataset access here. Otherwise access request will NOT be approved.** |
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**For who are in mainland China, you can also apply & download from [OpenDataLab](https://openxlab.org.cn/datasets/wangjiongwow/FreeMan/tree/main) for stable connection.** |
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|
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**中国大陆的使用者可以考虑通过[OpenDataLab](https://openxlab.org.cn/datasets/wangjiongwow/FreeMan/tree/main)获取下载链接。** |
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## Notice |
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[2023.09] 30FPS data for 3D Human Pose Estimation uploaded. Other data are under processing. |
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[2023.09] Paper released on [arxiv](https://arxiv.org/abs/2309.05073). We are uploading the datasets. Please stay tuned. |
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--- |
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## Overview |
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Current uploaded data: |
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- 8 views |
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- 40 subjects |
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- 11M frames |
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- 10 types of scenarios |
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- 27 locations |
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## File Info |
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The whole dataset is about 800GB and all RGB data are stored in video format. RGB data are zipped by subject, while all annotation files are zipped all togethers. |
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Besides zip files, text files store list of each subsets. |
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``` |
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session_list.txt: all session names included in FreeMan; |
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session_list_mono.txt: sample names and corrsponding view index in monocular experiments; |
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ignore_list.txt: sessions not used temporarily in experiments of FreeMan Paper(https://arxiv.org/abs/2309.05073); |
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train/valid/test.txt: session names in train/validation/test subset, respectivelly. They are seperated by subject. |
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``` |
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To verify downloaded items, sha256sum for video files are shown here: |
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| File Name | sha256sum | File Name | sha256sum | File Name | sha256sum | File Name | sha256sum | |
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| :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | |
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| subj01.zip | a02d8e47d36235ae760f553b85b7df21cb711fecea73e7542df49e5c2d1441e6 | subj02.zip | 10d9b9af46ade9069401832ad0f1b06edd12a9e39f2ea9d06a55f1371bb9a28f | subj02.01 | 94ac1a0af242c33bb0d8777bea094fe0542ace0077f8836ff3944b0e41d3e45b | subj02.02 | 67174ca443c7c35fd1604d69ae30a46fece96af83d83d7428db1ce6483782739 | |
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| subj02.03 | 05534d4e352454a5ffe0df802da53057953df274879d3067e023f2667773e4f6 | subj03.zip | 6825c59ecaec5114ead9f8d5f88d3d8ec2949cb9db102fb6beee6c338d2ae174 | subj04.zip | 48dc77e2c6fe741b8b271ee302ba5883eabec5ed960dac66181b58e38a36282d | subj05.zip | ab8033cc55e5e4f578490a225e60e986e67f162b79da44e68afcab805f396f2a | |
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| subj06.zip | a204970bc9ebd142a97276ed6bb095cb3a9e621090a8fad57fb8bbe99b23d733 | subj07.zip | 292cf18231592c730a811488e9896756ee137b737c1e207428efda9f73a75d2d | subj08.zip | fad741aa4400c813a8a71303ad855c7d0e130613db3c72222b14f010ee8c74d4 | subj09.zip | 46bcf599207c7fcaac84102e40a60c29720e916431f13b932273d33199bab922 | |
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| subj10.zip | 320f9c0cb169261bbcdc60163525d5b0b35fb17110dc488ad71491047b35d582 | subj11.zip | 72e3f99b5bfb918c269bfc53515c1d556e3ee8eed8d5aa82d619971eb74e76af | subj12.zip | 5e7c8dea74b59f14f65b08a51c1688f920ac24f943a1a6102fdb519b5df4702a | subj13.zip | 4a76b93a26fad023b315f46ff107ed619adb920cb2fb5d03e8de7f33bc68d0f6 | |
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| subj14.zip | d78998c715bd54a65c9da7b247212c1a1833405c125bb5492b5d5fca9ec0e17f | subj15.zip | 070dfdd2d420c4392f487ae9558406cee970fe43f802f26ca28a4871f8b46d0b | subj16.zip | 9933c2e3f8b114b96e4b5f9938d22ca77686b6952489406ee07705ac4601caa2 | subj17.zip | 2e80f886faf3a5b3679da8f8f7bde0034008415128c404ea9445368f1d0cbe17 | |
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| subj18.zip | 0f060e6c2b1699e9780f60b826946d69a77ae6c668cf6d02d3063b172ba3e3e0 | subj19.zip | 12bb121a1f4bd57a741ab651375af9bed105a9226390d225d8b08512d910f5d6 | subj20.zip | c07f8e261b4df3913399589405cbefd6a70807c6400373c92a4635390d4ee644 | subj21.zip | 26bc74962012698402836d2c327872c240b638a2bb54ae3b85af12b6a93269ee | |
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| subj22.zip | 0b69237ff95205ff51c95bdb34cdaabf0304ecf856d4ce1f07d9f76c16e42cd1 | subj22.01 | f66ac6370835164ee66e7db1cf9c60609218f3c6d19dfe2b07f39bffa12635ae | subj23.zip | 2ad8a29c949e0208c7338efd955a3f6b9322c61a691ceac3be89d356fb02eb1c | subj24.zip | 1902fd34d9d9717c5be95af36162095aa2db35d6327e6d7d828b3c7ffe97587c | |
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| subj25.zip | 01209473ca4a50e72e20849150dd489b62b6153fd2be798b699ceb106af40d1d | subj26.zip | 6cf1b76860a68bf8452e7e7719b2bb18bcb727691fb14e37da3864170973bfba | subj27.zip | a6e17a99b4597e26bb38ab86eb1c6f31534a643fb5ede55c888d34eda87fa546 | subj28.zip | f4ba067b02e2fd15d06f3e9d0eb750d2054d199b18d53258a77158153bef5c20 | |
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| subj29.zip | 2cfec4175ed17b2763af4d21b6a924fd31cc4176109e53beaa5141ff63715db0 | subj30.zip | c57c28de39dd81f579df00758717e1e9f3a73df338c61b51667be450beea8220 | subj31.zip | ee83b60bc25e5e3fe63f56437e8a9c023d9e7deebea987e20516d568280f01c0 | subj32.zip | 7e217b54696f9214585072def09f43a11a3f0fa2181d9478106055c69f2a2a48 | |
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| subj33.zip | 3f214e38daf8d416d2c5a5f5c32e6ea093a6c5cbc4c9eaa47e4a7e23c733a001 | subj34.zip | 39634d0f0e2db1bce9b9254a7dbc1425d5c4f83b38b64158e6ad8d411dfe4c65 | subj35.zip | 75c41ae4ade932774a3e8d58684c2b7fb9d62895dc87df9e1112d4d54894dae5 | subj36.zip | fc71637a6c46ad8de362204277c0bd68058b7a1e88c05c1bd713d80a85ea74ed | |
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| subj37.zip | 75347b1c8cd5e4afaa923376bfe5109e890c5593388de2145cfd2fc081d9ba83 | subj38.zip | e99d2de0a05c798fa91112ea69468bd0cbeb00aaad1c5d330bacee0ede30f540 | subj39.zip | 669feb7b7effee0cc6d532151c509c89dcd5e85a259ad56cf9df321e526f56fa | subj40.zip | c3f632c5e52331209af17c44d4ee6a16511d625096a19b4b043bc811489b0fa3 | |
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## Citation |
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If you find FreeMan helpful and used in your project, please cite our paper. |
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``` |
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@article{wang2023freeman, |
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title={FreeMan: Towards Benchmarking 3D Human Pose Estimation in the Wild}, |
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author={Wang, Jiong and Yang, Fengyu and Gou, Wenbo and Li, Bingliang and Yan, Danqi and Zeng, Ailing and Gao, Yijun and Wang, Junle and Zhang, Ruimao}, |
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journal={arXiv preprint arXiv:2309.05073}, |
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year={2023} |
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} |
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``` |
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## Contact |
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If any questions, please feel free to email us at [email protected], [email protected], |
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or leave your questions in chat/issues. |
