weiweizezedongdong/epic-kitchens-100-clips

--- license: cc-by-nc-4.0 tags: - video pretty_name: "EPIC-KITCHENS-100 Extracted Clips" size_categories: - 10K<n<100K --- # EPIC-KITCHENS-100 Extracted Clips ## About Dataset of 37455 video clips (24GB) extracted from videos in the EPIC-KITCHENS-100 dataset, more precisely the extension part not contained in EPIC-KITCHENS-55. For details, see https://www.lightly.ai/product-updates/epickitchens-100-in-lightlystudio. The `clips` folder contains one video for every narration from action annotations stored in `{participant_id}/{narration_id}.mp4`. The videos have been downscaled an compressed for easier manipulation, the extraction script is `cut_clips.py`. The annotation files are preserved in `epic-kitchens-100-annotations/` folder. This dataset was built to showcase [LightlyStudio](https://github.com/lightly-ai/lightly-studio), an open-source tool to visualise and curate datasets. See also [LightlyTrain](https://github.com/lightly-ai/lightly-train) for a framework to pretrain, fine-tune and distill vision models. ## Citation The credit is due to the original authors of the EPIC-KITCHENS-100 dataset: https://epic-kitchens.github.io ``` @ARTICLE{Damen2021PAMI, title={The EPIC-KITCHENS Dataset: Collection, Challenges and Baselines}, author={Damen, Dima and Doughty, Hazel and Farinella, Giovanni Maria and Fidler, Sanja and Furnari, Antonino and Kazakos, Evangelos and Moltisanti, Davide and Munro, Jonathan and Perrett, Toby and Price, Will and Wray, Michael}, journal={IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)}, year={2021}, volume={43}, number={11}, pages={4125-4141}, doi={10.1109/TPAMI.2020.2991965} } ```许可证：CC BY-NC 4.0 标签： - 视频 数据集名称："EPIC-KITCHENS-100 提取视频片段" 样本量区间：10000 < 样本量 < 100000 # EPIC-KITCHENS-100 提取视频片段 ## 关于本数据集 本数据集共收录37455个从EPIC-KITCHENS-100数据集原始视频中提取的视频片段，总容量达24GB，具体为EPIC-KITCHENS-55未涵盖的扩展子集。详细信息请参阅：https://www.lightly.ai/product-updates/epickitchens-100-in-lightlystudio。 `clips` 文件夹中，针对动作标注中的每条叙事注释，均对应一个独立视频文件，存储路径为`{participant_id}/{narration_id}.mp4`。为便于后续操作，所有视频已完成降采样与压缩处理，提取脚本为`cut_clips.py`。原始注释文件保留在`epic-kitchens-100-annotations/`文件夹中。 本数据集旨在展示轻量工作室 (LightlyStudio)——一款用于数据集可视化与整理的开源工具。如需了解用于视觉模型预训练、微调与蒸馏的训练框架，请参阅轻量训练框架 (LightlyTrain)：https://github.com/lightly-ai/lightly-train。 ## 引用 本数据集的相关学术成果归属于EPIC-KITCHENS-100数据集的原作者：https://epic-kitchens.github.io @ARTICLE{Damen2021PAMI, title={《EPIC-KITCHENS 数据集：采集、挑战与基准方案》}, author={Damen, Dima and Doughty, Hazel and Farinella, Giovanni Maria and Fidler, Sanja and Furnari, Antonino and Kazakos, Evangelos and Moltisanti, Davide and Munro, Jonathan and Perrett, Toby and Price, Will and Wray, Michael}, journal={《IEEE模式分析与机器智能汇刊（TPAMI）》}, year={2021}, volume={43}, number={11}, pages={4125-4141}, doi={10.1109/TPAMI.2020.2991965} }