DADA-2000
Introduced by Fang et al. in DADA: Driver Attention Prediction in Driving Accident Scenarios
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 ScenariosPapers
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