Yet Another Computer Vision Index To Datasets (YACVID) - Details

Stand: 2017-06-23 000000m 10:43:29 - Overview

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Name (Institute + Shorttitle)Comprehensive Cars (CompCars) 
Description (include details on usage, files and paper references)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.

The dataset is well prepared for the following computer vision tasks:

Fine-grained classification
Attribute prediction
Car model verification
The train/test subsets of these tasks introduced in our paper are included in the dataset. Researchers are also welcome to utilize it for any other tasks such as image ranking, multi-task learning, and 3D reconstruction. 
URL Linkhttp://mmlab.ie.cuhk.edu.hk/datasets/comp_cars/index.html 
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Tags (single words, spaced)car vehicle recognition attribute classification fine-grained urban object 
Last Changed2017-06-23 
Turing (2.12+3.25=?) :-)