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lightly-ai/epic-kitchens-100-clips

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… See the full description on the dataset page: https://huggingface.co/datasets/lightly-ai/epic-kitchens-100-clips.

sourceHugging Facecc-by-nc-4.0updated 6mo agoView on Hugging Face
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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, an open-source tool to visualise and curate datasets. See also LightlyTrain 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}
}