README.md

---
task_categories:
- video-classification
tags:
- multi-label micro-action detection

size_categories:
- 1K<n<10K
extra_gated_heading: "You need to agree to share your contact information to access this dataset"
extra_gated_description: The Micro-Action-52 (MA-52) dataset is only to be used for **non-commercial scientific purposes**. You may request access to the dataset by completing the [Google Form](https://forms.gle/avQQiRWvbxa1nDFQ6) provided and the [LA files](https://drive.google.com/file/d/1vAussMwE9GrL5Vt1MpSQeSmVbUMsgPhw/view?usp=sharing). We will respond promptly upon receipt of your application. If you have difficulty filling out the form, we can also accept the application by [email](mailto:kunli.hfut@gmail.com).

gated: true
gated_fields:
  - name: "Full Name"
    description: "Your full name"
  - name: "Affiliation"
    description: "Your institution, organization, or university"
  - name: "Email"
    description: "A valid academic or professional email address"
  - name: "Intended Use"
    description: "Briefly describe how you intend to use this dataset"
---


## Introduction
The Multi-label Micro-Action-52 (MMA-52) dataset is only to be used for non-commercial scientific purposes. 
You may request access to the dataset by completing the [Google Form](https://forms.gle/k9p7MxzEKT3iV27x6) provided and the [LA files](https://drive.google.com/file/d/1uJ071OdsGKxWa70nOHdjDjnOfWXy7bgU/view?usp=sharing). 
We will respond promptly upon receipt of your application. 
If you have difficulty in filling out the form, we can also accept the application by [email](kunli.hfut@gmail.com).


**Note that the test set is withheld for competition, and the labels in the test set are randomly assigned.**

**If you need access to the test dataset for testing purposes, please contact Kun Li at [email](kunli.hfut@gmail.com).**




## Citation
Please consider citing the related paper in your publications if it helps your research.


```
@article{guo2024benchmarking,
  title={Benchmarking Micro-action Recognition: Dataset, Methods, and Applications},
  author={Guo, Dan and Li, Kun and Hu, Bin and Zhang, Yan and Wang, Meng},
  journal={IEEE Transactions on Circuits and Systems for Video Technology},
  year={2024},
  volume={34},
  number={7},
  pages={6238-6252},
  publisher={IEEE},
  doi={10.1109/TCSVT.2024.3358415}
}
@article{li2024mmad,
  title={MMAD: Multi-label Micro-Action Detection in Videos},
  author={Li, Kun and Guo, Dan and Liu, Pengyu and Chen, Guoliang and Wang, Meng},
  journal={arXiv preprint arXiv:2407.05311},
  year={2024}
}
```