UBnormal (University of Bucharest Abnormal Videos)

Introduced by Acsintoae et al. in UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection

UBnormal is a new supervised open-set benchmark composed of multiple virtual scenes for video anomaly detection. Unlike existing data sets, the data set introduces abnormal events annotated at the pixel level at training time, for the first time enabling the use of fully-supervised learning methods for abnormal event detection. To preserve the typical open-set formulation, the data set includes disjoint sets of anomaly types in the training and test collections of videos.

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