BDD-A-C
收藏arXiv2025-09-30 收录
下载链接：
https://github.com/zaplm/DriverAttention
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资源简介：
该数据集名为BDD-A-C，是DriverAttention-C数据集的一个子集，专注于在多样化的城市和乡村道路驾驶场景中进行注意力预测。该子集包含了与实际驾驶条件相关的常见损坏情况。其规模包括6,817张测试图像，旨在为自动驾驶系统执行注意力预测任务。
This dataset, named BDD-A-C, is a subset of the DriverAttention-C dataset, focusing on attention prediction across diverse urban and rural road driving scenarios. This subset includes common corruptions associated with real-world driving conditions. It consists of 6,817 test images and is designed to support attention prediction tasks for autonomous driving systems.
提供机构：
BDD-A dataset
