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

Stand: 2019-02-21 000000m 17:54:16 - Overview

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Name (Institute + Shorttitle)Stanford Cars Dataset 
Description (include details on usage, files and paper references)Overview
The Cars dataset contains 16,185 images of 196 classes of cars. The data is split into 8,144 training images and 8,041 testing images, where each class has been split roughly in a 50-50 split. Classes are typically at the level of Make, Model, Year, e.g. 2012 Tesla Model S or 2012 BMW M3 coupe.

This dataset was featured as part of FGComp 2013, and competition results are directly comparable to results obtained from evaluating on images here.

If you use this dataset, please cite the following paper:

3D Object Representations for Fine-Grained Categorization
Jonathan Krause, Michael Stark, Jia Deng, Li Fei-Fei
4th IEEE Workshop on 3D Representation and Recognition, at ICCV 2013 (3dRR-13). Sydney, Australia. Dec. 8, 2013. 
URL Linkhttps://ai.stanford.edu/~jkrause/cars/car_dataset.html 
Files (#)16185 
References (SKIPPED)
Category (SKIPPED)Car models 
Tags (single words, spaced)car 
Last Changed2019-02-21 
Turing (2.12+3.25=?) :-)