UMAD: University of Macau Anomaly Detection Benchmark Dataset

IROS, 2024.
Dong Li, Lineng Chen, Cheng-Zhong Xu, Hui Kong^†

University of Macau
^†Corresponding Authors

😊News

The paper on this work is currently under review. You can hit the STAR and WATCH to follow the updates.

• 2024/6/30: UMAD has been accepted by IROS 2024! Thanks to everyone who participated in this project!

• 2024/3/21: We have publicly released a supplementary video for the paper submission.

📝ToDo List

• Make the project paper publicly available.
• Open-source the UMAD dataset.
• Open-source the UMAD-homo-eval dataset.
• Open-source the code related to the datasets.

Dataset

Dataset Structure

Anomaly Detection Benchmark

Change Detection Benchmark

Acknowledgement

The authors would like to thank the following people for their contributions to data collection and data annotation for this project: @Xiangyu QIN, @Shenbo WANG, @Kaijie YIN, @Shuhao ZHAI, @Xiaonan LI, @Beibei ZHOU, and @Hongzhi CHENG.

Citing

If you find our work useful, please consider citing:

@article{li2024umad
  author    = {Li, Dong and Chen, Lineng and Xu, Cheng-Zhong and Kong, Hui},
  title     = {UMAD: University of Macau Anomaly Detection Benchmark Dataset},
  journal   = {IROS},
  year      = {2024},
}