数据堂—89,747张车辆属性标注数据

89,747张车辆属性标注数据包括室外道路（高速公路、十字路口）场景，数据涵盖多种车型、多种车辆颜色、多种车牌颜色、多种车辆品牌、不同时间段，不同车辆朝向。在标注方面，标注车正脸或车尾矩形框、车全身矩形框、车牌矩形框、车牌号转写、车牌颜色、车辆颜色、车辆类型、汽车品牌、图片拍摄时间段、车辆朝向。89,747张车辆属性标注数据可用于车辆属性分析或车牌识别等任务。

A labeled vehicle attribute dataset containing 89,747 samples covers outdoor road scenarios including highways and intersections. The dataset encompasses diverse vehicle types, colors, license plate colors, brands, shooting time periods and vehicle orientations.
For annotation purposes, the following items are labeled: bounding boxes of vehicle fronts or rears, full-body vehicle bounding boxes, license plate bounding boxes, license plate number transcriptions, license plate colors, vehicle colors, vehicle types, vehicle brands, image capture time periods, and vehicle orientations.
This dataset can be applied to tasks such as vehicle attribute analysis and license plate recognition.

搜集汇总

背景与挑战

背景概述

该数据集包含89,747张车辆属性标注图片，覆盖高速公路、交叉路口等户外道路场景，包含多种车型、颜色、车牌颜色、品牌、时间段和车辆方向。标注内容包括车辆前后矩形框、车身矩形框、车牌矩形框、车牌号码（以六个*表示）、车牌颜色、车辆颜色、车型、品牌、拍摄时间段和车辆方向，标注准确率至少为96%。适用于车辆属性分析和车牌识别任务。