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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
A collection of recent video understanding datasets, under construction!
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| 2026-08-10 | 468 |
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| 2026-11-04 | 471 |
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# Video-understanding-dataset **Please feel free to pull a request.** **Note: ActivityNet v1.3, Kinetics-600, Moments in time, AVA will be used at [ActivityNet challenge 2018](http://activity-net.org/challenges/2018/)** ## Video Classification Dataset | Paper | Website | Category | #Examples |#Classes | Duration | Organizer | SOTA performance --------|-------|---------|----------|-----------|---------|----------|-----------|----------------- UCF101 | [PDF][p1] | [Link][l1] | human action | 13,320 | 101 | <10s | UCF | 98% (DeepMind I3D) HMDB51 | [PDF][p2] | [Link][l2] | human action | 6,766 | 51 | <10s | Brown | 80.7% (DeepMind I3D) **ActivityNet v1.3**| [PDF][p8] | [Link][l8] | human activities | ~20,000 | 200 | - | ActivityNet | 8.83% err (iBUG) Charades | [PDF][p4] | [Link][l4] | daily human activities | 9,848 | 157 | - | AI2 | 0.3441 mAP (DeepMind I3D) **Kinetics** | [PDF][p3] | [Link][l3] | human action | ~500,000 | 600 | 10s | DeepMind | - Sports-1M | [PDF][p5] | [Link][l5] | sports | ~1 million | 478 | 5m36s | Google & Stanford | - YouTube-8M | [PDF][p6] | [Link][l6] | visual contents | ~7 million | 4716 | 120-500s | Google Cloud | 85% GAP (WILLOW) FCVID | [PDF][p9] | [Link][l9] | visual contents | 91,223 | 239 | 100s+ | Fudan-Columbia | - Something-Something | [PDF][p10] | [Link][l10] | action with objects | 108,499 | 174 | ~4s | TwentyBN | - **Moments in Time** | [PDF][p7] | [Link][l7] | action or activity | ~1 million | 339 | 3s | MIT-IBM Watson | - SLAC | [arXiv][p11] | [Link][l11] | recognition and localization | 520K | 200 | ~30.6s | MIT and Facebook | - ## Temporal Action Detection Dataset | Paper | Website | #Examples | Organizer | SOTA performance --------|-------|---------|-----------|-----------|----------------- THUMOS2014 | [PDF][t1] | [Link][d1] | 9.682 | UCF| - ActivityNet(v1.3) | [PDF][p8] | [Link][l8] | ~20,000 | ActivityNet| 0.344(SJTU & Columbia ) Broad Video Highlights | - | [Link][d2] | 18000 | Baidu | - ## Spatio-temporally Localized Atomic Visual Actions Dataset | Paper | Website | #Examples | #Classes | Organizer | SOTA performance --------|-------|---------|-----------|-----------|-----------|----------------- **AVA** | [arXiv][s1] | [Link][t1] | 57.6k | 80 | Google & Berkeley| - ## Hand Gestures in Videos Dataset | Paper | Website | #Examples | #Classes | Organizer | SOTA performance --------|-------|---------|-----------|-----------|-----------|----------------- Jester | - | [Link][h1] | 148,092 | 27 | TwentyBN | 95.34%(Ke Yang, NUDT_PDL) ## Video Captioning Dataset | Paper | Website | Context | #Examples | Organizer | SOTA performance --------|-------|---------|----------|-----------|-----------|----------------- MPII-MD |[PDF][v2]| [Link][c2] | movie | 68,337 clips with 68,375 sentences| MPII | - MSR-VTT |[PDF][v1]| [Link][c1] | 20 categories| 10,000 clips wth 200,000 sentences| MSR | - Charades |[PDF][p4]| [Link][l4] | human activity| 9,848 clips wth 27,847 sentences| AI2 | - Densevid |[PDF][v3]| [Link][c3] | event | 20k clips and 100k sentences | Stanford, ActivityNet | - ## Video Question Answering Dataset | Paper | Website | Task | #Examples | Organizer | SOTA performance --------|-------|---------|----------|-----------|-----------|----------------- MovieQA |[PDF][q1]| [Link][a1] | question-answering in movies | 408 movies & 14944 QAs| UToronto | - MarioQA |[PDF][q2]| [Link][a2] | reasoning events in game videos | 187,757 examples with 92,874 QAs| POSTECH | - [p1]: http://crcv.ucf.edu/papers/UCF101_CRCV-TR-12-01.pdf [l1]: http://crcv.ucf.edu/data/UCF101.php [P2]: http://cbcl.mit.edu/publications/ps/Kuehne_etal_iccv11.pdf [L2]: http://serre-lab.clps.brown.edu/resource/hmdb-a-large-human-motion-database/ [p3]: https://arxiv.org/abs/1705.06950 [l3]: https://deepmind.com/research/open-source/open-source-datasets/kinetics/ [p4]: https://link.springer.com/chapter/10.1007/978-3-319-46448-0_31 [l4]: http://allenai.org/plato/charades/ [p5]: http://cs.stanford.edu/people
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:d6354200275cd0bd, topic:datasets, name:dataset, readme:dataset
matched fp:d6354200275cd0bd, topic:computer-vision