https://github.com/vita-group/pa-hmdb51
[TPAMI 2020] "Privacy-Preserving Deep Action Recognition: An Adversarial Learning Framework and A New Dataset" by Zhenyu Wu, Haotao Wang, Zhaowen Wang, Hailin Jin, and Zhangyang Wang
https://github.com/vita-group/pa-hmdb51
dataset human-action-recognition privacy-attributes privacy-protection
Last synced: 4 months ago
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[TPAMI 2020] "Privacy-Preserving Deep Action Recognition: An Adversarial Learning Framework and A New Dataset" by Zhenyu Wu, Haotao Wang, Zhaowen Wang, Hailin Jin, and Zhangyang Wang
- Host: GitHub
- URL: https://github.com/vita-group/pa-hmdb51
- Owner: VITA-Group
- License: other
- Created: 2019-06-01T21:38:44.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2021-12-30T08:11:04.000Z (almost 4 years ago)
- Last Synced: 2025-04-19T18:51:36.099Z (6 months ago)
- Topics: dataset, human-action-recognition, privacy-attributes, privacy-protection
- Language: Jupyter Notebook
- Homepage:
- Size: 25.5 MB
- Stars: 40
- Watchers: 1
- Forks: 5
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# PA-HMDB51 Dataset
This repo hosts privacy attribute labels and GUIs for the PA-HMDB51 (privacy annotated HMDB51) dataset published in our TPAMI [paper](http://arxiv.org/abs/1906.05675). **For more detailed descriptions of the dataset, please check our [project homepage](https://htwang14.github.io/PA-HMDB51-website/index.html).**
## Download Dataset
Frame-wise privacy attribute annotations on the original HMDB-51 videos are provided in `PrivacyAttributes` folder. The annotations can also be downloaded though [Google Drive](https://drive.google.com/drive/u/1/folders/1NH71LxF3rTwTSnxXcA3Wy8GOn6JluGNr).
## GUI
The GUI to view frame-wise privacy attribute annotations in our dataset are provided in `GUI` folder. Please refer to its README file for more instructions on using the GUI.
*The dataset is collected and maintained by the [VITA group](https://vita-group.github.io/) at the University of Texas at Austin.*