Overview

The Comprehensive Cars (CompCars) dataset contains data from two scenarios, including images from web-nature and surveillance-nature. The web-nature data contains 163 car makes with 1,716 car models. There are a total of 136,726 images capturing the entire cars and 27,618 images capturing the car parts. The full car images are labeled with bounding boxes and viewpoints. Each car model is labeled with five attributes, including maximum speed, displacement, number of doors, number of seats, and type of car. The surveillance-nature data contains 50,000 car images captured in the front view. Please refer to our paper for the details.

Instruction

Use thiss password to unzip: d89551fd190e38 On windows, both winzip and winrar are able to extract the files. On linux, it takes two steps: zip -F data.zip --out combined.zip unzip -P password combined.zip Refer to "README.txt" in the folder for descriptions of data. Surveillance data: The surveillance data are released as "sv_data.*". Download all such files, and unzip it with the same password.

Citation

@InProceedings{Yang_2015_CVPR,
author = {Yang, Linjie and Luo, Ping and Change Loy, Chen and Tang, Xiaoou},
title = {A Large-Scale Car Dataset for Fine-Grained Categorization and Verification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
(CVPR)},
month = {June},
year = {2015}
}