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Serrelab/hmdb51

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--- license: cc-by-4.0 task_categories: - video-classification tags: - action-recognition - video - computer-vision size_categories: - 1K<n<10K --- # HMDB51: A Large Video Database for Human Motion Recognition **Official dataset release by Serre Lab, Brown University.** HMDB51 contains **6,849** short video clips across **51 action categories**, compiled from movies and web videos to capture diverse viewpoints, camera motion, and visual conditions. ## Files - **hmdb51_org.rar** — Original unstabilized videos (~2 GB), 51 classes, 6,849 clips - **hmdb51_sta.rar** — Stabilized version with geometric frame alignment - **test_train_splits.rar** — Predefined train/test splits (3 lists) for standard evaluation ## Citation ```bibtex @inproceedings{kuehne2011hmdb, title={HMDB: A Large Video Database for Human Motion Recognition}, author={Kuehne, Hilde and Jhuang, Hueihan and Garrote, Est{\'\i}baliz and Poggio, Tomaso and Serre, Thomas}, booktitle={ICCV}, year={2011} } ``` ## Links - [Official website](https://serre.lab.brown.edu/hmdb51.html) - [Torchvision: datasets.HMDB51](https://docs.pytorch.org/vision/main/generated/torchvision.datasets.HMDB51.html)

license: 知识共享署名4.0(CC BY 4.0)许可协议 task_categories: - 视频分类(video-classification) tags: - 动作识别(action-recognition) - 视频 - 计算机视觉(Computer Vision) size_categories: - 1K<n<10K --- # HMDB51:用于人体动作识别的大型视频数据库 **该数据集由布朗大学Serre实验室官方发布。** HMDB51包含覆盖51个动作类别的共6849段短视频片段,素材取自电影与网络视频,旨在涵盖多样化的拍摄视角、相机运动及视觉环境。 ## 文件 - **hmdb51_org.rar** — 原始未稳定化视频(~2 GB),涵盖51个类别,共6849段片段 - **hmdb51_sta.rar** — 经过几何帧对齐的稳定化版本 - **test_train_splits.rar** — 用于标准评估的预定义训练/测试划分集(共3个列表) ## 引用格式 bibtex @inproceedings{kuehne2011hmdb, title={HMDB: A Large Video Database for Human Motion Recognition}, author={Kuehne, Hilde and Jhuang, Hueihan and Garrote, Estíbaliz and Poggio, Tomaso and Serre, Thomas}, booktitle={ICCV}, year={2011} } ## 链接 - [官方网站](https://serre.lab.brown.edu/hmdb51.html) - [Torchvision: datasets.HMDB51](https://docs.pytorch.org/vision/main/generated/torchvision.datasets.HMDB51.html)
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