MA-52 / README.md
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---
task_categories:
- video-classification
tags:
- micro-action
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:[email protected]).
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
For more information about Micro-Action analysis, please refer to https://github.com/VUT-HFUT/Micro-Action.
The Micro-Action-52 (MA-52) dataset is designed specifically for Micro-Action Recognition research.
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:[email protected]).
Please note that the test set is withheld for competition purposes. You can evaluate your results by following the provided [instructions](https://github.com/VUT-HFUT/Micro-Action/tree/main/mar_scripts#codabench-submission-test-set).
## 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 Liu, Pengyu and Guo, Dan and Wang, Fei and Wu, Zhiliang and Fan, Hehe and Wang, Meng},
journal={arXiv preprint arXiv:2407.05311},
year={2024}
}
```