데이터셋 탐색

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 Image Source: Fang et al