Datasets > Modality > Images > DADA-2000

DADA-2000 is a large-scale benchmark with 2000 video sequences (named as DADA-2000) is contributed with laborious annotation for driver attention (fixation, saccade, focusing time), accident objects/intervals, as well as the accident categories, and superior performance to state-of-the-arts are provided by thorough evaluations.

Source: DADA: A Large-scale Benchmark and Model for Driver Attention Prediction in Accidental Scenarios

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Source: Fang et al.

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