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.
license: cc-by-nc-4.0 tags:
- video prettyname: "EPIC-KITCHENS-100 Extracted Clips" sizecategories:
- 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, 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}
} 