Datasets:

kunli-cs
/

MMA-52

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 provided and the LA files. 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.

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.

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}
}