README.md

Assembly101 annotations

Assembly101 annotations are available here.

The annotatations are divided into 2 granularities:

• fine-grained-annotations: used for Action Recognition and Action Anticipation benchmarks
• coarse-annotations: used for Temporal Action Segmentation benchmark

Raw videos are 60fps but the frame numbers in all the annotations are provided after extracting them from the raw video at 30fps.

If you use our dataset, kindly cite:

@article{sener2022assembly101,
    title = {Assembly101: A Large-Scale Multi-View Video Dataset for Understanding Procedural Activities},
    author = {F. Sener and D. Chatterjee and D. Shelepov and K. He and D. Singhania and R. Wang and A. Yao},
    journal = {CVPR 2022},
}

License

Assembly101 is licensed by us under the Creative Commons Attribution-NonCommerial 4.0 International License, found here. The terms are :

• Attribution : You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
• NonCommercial : You may not use the material for commercial purposes.