The dataset of the paper "MoTIF: An end-to-end Multimodal Road Traffic Scene Understanding Foundation Model"
收藏ETS-Data2025-08-09 更新2026-02-07 收录
下载链接:
https://doi.org/10.26599/ETSD.2025.9190051
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资源简介:
该数据集包括 2023 年 10 月城市十字路口四个方向的监控视频。 这些视频的分辨率为 3840×2160,帧速率为每秒 30 帧 (fps),场景理解标注涵盖交通拥堵程度、行人和车辆数量、行为意图等正常场景。
This dataset comprises surveillance videos collected from four directions at urban intersections in October 2023. All videos have a resolution of 3840 × 2160 and a frame rate of 30 frames per second (fps). The scene understanding annotations cover normal traffic scenarios, including traffic congestion levels, the numbers of pedestrians and vehicles, and their behavioral intentions, among other aspects.



