YouCook2 Dataset | Home Explore Download Leaderboard |
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Please read the README file before download.
Annotations (single .json file): Train+Val, Test (segments only) Recipe ID/type: ID-type pairs Splits: Train+Val+Test Scripts: Download Scripts Frame-wise ResNet feature (.csv, 23.9GB): Train+Val+Test Frame-wise ResNet feature (.dat, 11.2GB): Train+Val+Test All-in-one (35.1GB): YouCook2 Download (YouCook2-BB)
[05/07/2019] Reformatted the annotation JSON files. Augmented the initial release with 3.5% more annotations. See the bottom of the code repo for more details.
Please read the README file inside the annotation pack. Annotations (1.3MB): YouCook2-BB Region proposals and features see the code repo. Download (others) |
License
[09/09/2019] We only provide the annotations and do not distribute the videos. The licenses for our annotations are as follows: YouCook2, YouCook2-BB
Citation
We introduced YouCook2 dataset in our AAAI 2018 paper on video procedure segmentation. Please cite the following if you find the dataset useful:
@inproceedings{ZhXuCoAAAI18, author={Zhou, Luowei and Xu, Chenliang and Corso, Jason J}, title = {Towards Automatic Learning of Procedures From Web Instructional Videos}, booktitle = {AAAI Conference on Artificial Intelligence}, pages={7590--7598}, year = {2018}, url = {https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/17344} } The bounding box annotation comes from our BMVC 2018 paper on weakly-supervised video object grounding. Please cite the following if you find the annotation useful: @inproceedings{ZhLoCoBMVC18, author={Zhou, Luowei and Louis, Nathan and Corso, Jason J}, title={Weakly-Supervised Video Object Grounding from Text by Loss Weighting and Object Interaction}, booktitle = {British Machine Vision Conference}, year = {2018}, url = {http://bmvc2018.org/contents/papers/0070.pdf} } |