Digital Breakthrough 2022: Car Object Dataset

The Digital Breakthrough 2022: Ulyanovsk - Car Object Detection dataset comprises 482 labeled images specifically focusing on car object detection. Part of the Ulyanovsk region (Russia) AI competition, this dataset challenges participants to develop a real-time distance determination algorithm for cars in different photos. The intended use is for navigation systems to warn about unsafe distances, promoting road safety protocols.

《数字突破2022：乌里扬诺夫斯克——汽车目标检测数据集》由482张标记图像组成，专注于汽车目标检测。此数据集为乌里扬诺夫斯克地区（俄罗斯）人工智能竞赛的一部分，旨在挑战参赛者开发一套针对不同照片中汽车的实时距离判定算法。其预期用途是为导航系统提供关于不安全距离的警告，从而促进道路交通安全协议的实施。