lilygeorgescu/UBnormal
UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection
UBnormal provides a specialized dataset for training and evaluating video anomaly detection systems. It takes in video footage of various virtual scenes and outputs detailed annotations highlighting abnormal events at a pixel level. This dataset is for researchers and developers creating systems to automatically flag unusual occurrences in video.
102 stars. No commits in the last 6 months.
Use this if you are developing or benchmarking algorithms for detecting unusual events in video footage, especially if your method benefits from pixel-level anomaly annotations.
Not ideal if you are looking for a dataset of real-world surveillance footage or if your focus is on a narrow, specific type of anomaly.
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102
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10
Language
Python
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Last pushed
Sep 29, 2022
Commits (30d)
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