a1raman/epic_kitchens_100

EPIC-KITCHENS-100 (Mirror)

This repository provides a mirror of the EPIC-KITCHENS-100 dataset videos for easier access and high-speed downloading via the Hugging Face Hub.

Important Note

This mirror is uploaded for personal convenience and may not contain the entire dataset. If you need the full, official, and most up-to-date version of the dataset (including all annotations and subsets), please visit the official website.

Official Links

• Official Website: https://epic-kitchens.github.io/
• Original Data Source: University of Bristol (data.bris) / Academic Torrents

Reason for this Mirror

The original download sources (data.bris and Academic Torrents) can be slow or difficult to access depending on the region/environment. This mirror is provided to facilitate faster data loading for deep learning research and experimentation using the Hugging Face datasets library.

License & Disclaimer

• License: CC BY-NC 4.0
• Disclaimer: EPIC-KITCHENS-55 and EPIC-KITCHENS-100 were collected as a tool for research in computer vision. The dataset may have unintended biases (including those of a societal, gender or racial nature).
• Commercial Use: This dataset is for non-commercial research purposes only. For commercial licenses, please contact uob-epic-kitchens@bristol.ac.uk.

Citation

If you find this dataset mirror useful, please cite the following original publications:

EPIC-KITCHENS-100 (Main Publication)

@ARTICLE{Damen2022RESCALING,
           title={Rescaling Egocentric Vision: Collection, Pipeline and Challenges for EPIC-KITCHENS-100},
           author={Damen, Dima and Doughty, Hazel and Farinella, Giovanni Maria and Furnari, Antonino 
           and Ma, Jian and Kazakos, Evangelos and Moltisanti, Davide and Munro, Jonathan 
           and Perrett, Toby and Price, Will and Wray, Michael},
           journal   = {International Journal of Computer Vision (IJCV)},
           year      = {2022},
           volume = {130},
           pages = {33–55},
           Url       = {[https://doi.org/10.1007/s11263-021-01531-2](https://doi.org/10.1007/s11263-021-01531-2)}
}

@INPROCEEDINGS{Damen2018EPICKITCHENS,
           title={Scaling Egocentric Vision: The EPIC-KITCHENS Dataset},
           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},
           booktitle={European Conference on Computer Vision (ECCV)},
           year={2018}
}

@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}
}