UCF-Crime Dataset: Real-world Anomaly Detection in Surveillance Videos

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UCF-Crime Dataset: Real-world Anomaly Detection in Surveillance Videos

A large-scale dataset for real-world anomaly detection in surveillance videos. It consists of 1900 long and untrimmed real-world surveillance videos (of 128 hours), with 13 realistic anomalies such as fighting, road accident, burglary, robbery, etc. as well as normal activities. (Center for Research in Computer Vision, University of Central Florida)

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