# Content 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. For each set, the bounding box of the car in the image is given. For the training set, the class of the image is also given. A list of classes is also given in the classes.csv file. # Citation 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. [[pdf]](https://ai.stanford.edu/~jkrause/papers/3drr13.pdf) | [[BibTex]](https://ai.stanford.edu/~jkrause/papers/3drr13.bib) | [[slides]](https://ai.stanford.edu/~jkrause/papers/3drr_talk.pdf) # Source https://ai.stanford.edu/~jkrause/cars/car_dataset.html