Papers › AViD Dataset: Anonymized Videos from Diverse Countries
AViD Dataset: Anonymized Videos from Diverse Countries
AJ Piergiovanni, Michael S. Ryoo
We introduce a new public video dataset for action recognition: Anonymized Videos from Diverse countries (AViD). Unlike existing public video datasets, AViD is a collection of action videos from many different countries. The motivation is to create a public dataset that would benefit training and pretraining of action recognition models for everybody, rather than making it useful for limited countries. Further, all the face identities in the AViD videos are properly anonymized to protect their privacy. It also is a static dataset where each video is licensed with the creative commons license. We confirm that most of the existing video datasets are statistically biased to only capture action videos from a limited number of countries. We experimentally illustrate that models trained with such biased datasets do not transfer perfectly to action videos from the other countries, and show that AViD addresses such problem. We also confirm that the new AViD dataset could serve as a good dataset for pretraining the models, performing comparably or better than prior datasets.
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Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Action Classification | AViD | SlowFast-101 16x8 | Accuracy | 50.9 | #2 of 10 | Archive leaderboard | report |
| Action Classification | AViD | RepFlow ResNet-50 | Accuracy | 50.5 | #3 of 10 | Archive leaderboard | report |
| Action Classification | AViD | SlowFast-50 8x8 | Accuracy | 50.4 | #4 of 10 | Archive leaderboard | report |
| Action Classification | AViD | Two-Stream 3D ResNet-50 | Accuracy | 50.1 | #5 of 10 | Archive leaderboard | report |
| Action Classification | AViD | (2+1)D ResNet-50 | Accuracy | 48.8 | #6 of 10 | Archive leaderboard | report |
| Action Classification | AViD | SlowFast-50 4x4 | Accuracy | 48.5 | #7 of 10 | Archive leaderboard | report |
| Action Classification | AViD | 3D ResNet-50 | Accuracy | 48.2 | #8 of 10 | Archive leaderboard | report |
| Action Classification | AViD | I3D | Accuracy | 46.8 | #9 of 10 | Archive leaderboard | report |
| Action Classification | AViD | 2D ResNet-50 | Accuracy | 36.2 | #10 of 10 | Archive leaderboard | report |
| Action Detection | Charades | 3D ResNet-50 + super-events pretrained on AViD | mAP | 25.2 | #8 of 16 | Archive leaderboard | report |
| Action Detection | Charades | 3D ResNet-50 pretrained on AViD | mAP | 23.2 | #12 of 16 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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