TAR-1：Urban Traffic Objects Dataset

We released for the first time a dataset of urban traffic objects in two parts: Part A was acquired using an infrared sensing camera in real road environments, and Part B was extracted from Russian news videos. Initially, our primary consideration in searching for a traffic crash dataset was to use a dataset from China exclusively. However, Chinese traffic crash data may contain mosaics in key feature areas, which could significantly hinder TAR-DETR's feature recognition. As a result, we decided to incorporate Russian traffic crash data.The compressed file contains 3000 original images, along with corresponding labels in both VOC and YOLO formats.

本团队首次发布一款分为两个部分的城市交通目标数据集：A部分采集自真实道路环境下的红外传感相机（infrared sensing camera），B部分则提取自俄罗斯新闻视频素材。最初，我们在遴选交通事故数据集时，曾计划仅采用中国境内的相关数据集，但中国的交通事故数据可能在关键特征区域存在打码处理，这将严重干扰TAR-DETR的特征识别。因此我们最终决定纳入俄罗斯交通事故相关数据。该压缩包内含3000张原始图像，同时附带VOC与YOLO两种格式的对应标注文件。

搜集汇总

背景与挑战

背景概述

TAR-1是一个城市交通对象数据集，包含3000张原始图像及对应标签，数据来源包括红外感应摄像头采集的真实道路环境和俄罗斯新闻视频。数据集提供VOC和YOLO格式的标签，适用于交通对象识别相关研究。