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README.md
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---
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annotations_creators:
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- expert-generated
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language:
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- und
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multilingual: false
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pretty_name: HMDB51
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task_categories:
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- video-classification
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license: other
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dataset_creators:
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- Serre Lab at Brown University
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paperswithcode_id: hmdb51
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tags:
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- human-action
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- video
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- benchmark
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---
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# HMDB51 Dataset
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**HMDB51** is a large human action recognition dataset consisting of 6,766 video clips (.avi) distributed across 51 action categories (e.g., jumping, drinking, kicking, etc). It is commonly used as a benchmark for video classification and action recognition tasks.
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## 📦 Dataset Source
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This dataset was originally collected and published by the **Serre Lab at Brown University**.
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🔗 [Serre Lab – Brown University](https://serre-lab.clps.brown.edu/)
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## 📁 Contents
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- 6,766 video clips
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- 51 action categories
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- Includes training/testing splits for benchmarking
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## 📚 Citation
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If you use this dataset, please cite:
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> Kuehne, H., Jhuang, H., Garrote, E., Poggio, T., & Serre, T. (2011). HMDB: A large video database for human motion recognition. In Proceedings of the IEEE International Conference on Computer Vision (ICCV).
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hmdb51_org.rar
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version https://git-lfs.github.com/spec/v1
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oid sha256:9e714a0d8b76104d76e932764a7ca636f929fff66279cda3f2e326fa912a328e
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size 2124008126
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