The Comprehensive Cars (CompCars)

综合汽车 (CompCars) 数据集包含来自两个场景的数据，包括来自网络自然和监视自然的图像。 web-nature 数据包含 163 个汽车制造商和 1,716 个汽车型号。总共有 136,726 张拍摄整车的图像和 27,618 张拍摄汽车零件的图像。完整的汽车图像标有边界框和视点。每个车型都标有五个属性，包括最大速度、排量、门数、座位数和汽车类型。监控性质的数据包含在前视图中捕获的 50,000 张汽车图像。详情请参阅我们的论文。

The Comprehensive Cars (CompCars) dataset contains data from two scenarios, including images from web-nature and surveillance-nature sources. The web-nature data covers 163 car manufacturers and 1,716 car models. In total, it includes 136,726 images of complete vehicles and 27,618 images of car parts. Full vehicle images are annotated with bounding boxes and viewpoints. Each car model is labeled with five attributes: maximum speed, engine displacement, number of doors, number of seats, and vehicle type. The surveillance-nature data contains 50,000 car images captured from the front view. For more details, please refer to our paper.

搜集汇总

背景与挑战

背景概述

The Comprehensive Cars (CompCars)数据集是一个包含163个汽车制造商和1,716个汽车型号的大规模数据集，提供136,726张整车图像和27,618张汽车零件图像，标注了边界框、视点和车型属性。数据集还包含50,000张监控视角的汽车图像，适用于细粒度分类和验证任务。