| Dataset | Download Link |
|---|---|
| DART_Avenue | [Link1] https://pan.baidu.com/s/1hXNpPzBF8Z40YzjSIeBRew |
| DART_Ped2 | [Link2] https://pan.baidu.com/s/1aQiH7cpbjN76BpdqoBZZiA |
| DART_SHANGHAITECH | Ongoing |
Password:dart
DART_Avenue
DART_Ped2
DART_SHANGHAITECH
This is a custom dataset based on Avenue, Ped2, and ShanghaiTech Campus. We applied distortion to the original datasets to create a new dataset for research and development purposes. The relevant paper is as follows:
Avenue C. Lu, J. Shi, J. Jia, Abnormal event detection at 150 fps in matlab, in: Proceedings of the IEEE international conference on computer vision, 2013, pp. 2720–2727.
Ped2 W. Li, V. Mahadevan, N. Vasconcelos, Anomaly detection and localization in crowded scenes, IEEE transactions on pattern analysis and machine intelligence 36 (2013) 18–32.
SHANGHAITECH WenLiu, Weixin Luo, Dongze Lian, and Shenghua Gao. Fu ture frame prediction for anomaly detection–a new baseline. In Proceedings of the IEEE conference on computer vision and pattern recognition, pages 6536–6545, 2018. 2, 5,