CAP-DATA
Introduced by Fang et al. in Cognitive Accident Prediction in Driving Scenes: A Multimodality Benchmark
CAP-DATA is a large-scale benchmark consisting of 11,727 in-the-wild accident videos with over 2.19 million frames together with labeled fact-effect-reason-introspection description and temporal accident frame label. It can support many useful tasks for accident inference, such as accident detection and prediction (AccidentDet/Pre), causal inference of accident (Accident-Causal), accident classification (Accident-Cla), text-video based accident retrieval (Accident-Retri), and question answering in an accident (Accident-QA) of the driving scene.
Source: Cognitive Accident Prediction in Driving Scenes: A Multimodality BenchmarkPapers
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