[data request] Okutama-Action

[samuelmurray]

• Name of dataset: Okutama-Action
• URL of dataset: http://okutama-action.org/
• License of dataset: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License
• Short description of dataset and use case(s): An aerial view dataset that contains representative samples of actions in real-world airborne scenarios. Dynamic transition of actions where, in each video, up to 9 actors sequentially perform a diverse set of actions. A real-world challenge of multi-labeled actors where an actor performs more than one action at the same time. A significant increase compared to previous datasets, in number of actors and concurrent actions (up to 10 actions/actors), as well as video resolution (3840x2160) and sequence length (one minute on average). Dataset can be used for multiple tasks: 1) pedestrian detection 2) spatio-temporal action detection 3) (under development) multi-human tracking.

Folks who would also like to see this dataset in tensorflow/datasets, please thumbs-up so the developers can know which requests to prioritize.

And if you'd like to contribute the dataset (thank you!), see our guide to adding a dataset.

[samuelmurray]

Article: Okutama-Action: An Aerial View Video Dataset for Concurrent Human Action Detection Citation:

@inproceedings{barekatain2017okutama,
  title={Okutama-action: an aerial view video dataset for concurrent human action detection},
  author={Barekatain, Mohammadamin and Mart{\'\i}, Miquel and Shih, Hsueh-Fu and Murray, Samuel and Nakayama, Kotaro and Matsuo, Yutaka and Prendinger, Helmut},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops},
  pages={28--35},
  year={2017}
}

[SoumyadeepJana]

@Conchylicultor @cfyra This looks interesting. Please assign me.