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| Mimetics v1.0 |
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The Mimetics dataset (version 1.0) contains video clips from YouTube of mimed actions for a subset of classes from the Kinetics400 dataset. 
It allows to evaluate on out-of-context human actions methods that have been trained on Kinetics.



Citation
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When using or referring to this dataset, please cite our paper.

@article{mimetics,
  author = {Weinzaepfel, Philippe and Rogez, Gr\’egory},
  title = {Mimetics: Towards Understanding Human Actions Out of Context},
  journal = {arXiv},
  title = {2019}
}



News
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December 2019: release v1.0



Content
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* mimetics_v1.0.csv is a csv file that contains the URLs and timestamps of the YouTube clips, following the Kinetics format. You can thus use similar script such as https://github.com/activitynet/ActivityNet/tree/master/Crawler/Kinetics to download and trim the videos.
* mimetics_v1.0_objectsceneannot.txt contains annotation per video (one video per line) about the presence of a relevant object, of a relevant scene, as well as a binary label whether the actor is a mime artist. The object is a binary label that indicates whether a relevant object is present or not, and similarly for the scene label.
* mimetics_v1.0_clsannot.txt contains annotation about the size of the manipulated objects as well as the relevance of a particular scene for each class. Object sizes are either "no", "small", "medium" or "large". In the paper, we report either for no/small object and medium/large. Scene label is either "yes" or "no".

