Cars Dataset

Dataset details

Last updated: 15 Dec 2022
Meta Album ID VCL.CRS
Domain ID VCL
Domain Name Vehicles
Set Number 0
Dataset ID CRS
Dataset Name Cars
Short Description Dataset with images of different car models
Long Description The original Cars dataset (https://ai.stanford.edu/~jkrause/cars/car_dataset.html) was collected in 2013, and it contains more than 16 000 images from 196 classes of cars. Most images are on the road, but some have different backgrounds, and each image has only one car. Each class can have 48 to 136 images of variable resolutions. The preprocess version for this dataset was obtained by creating square images either duplicating the top and bottom-most 3 rows or the left and right most 3 columns based on the orientation of the original image. In this case, cropping was not applied to create the square images since following this technique results in losing too much information from the cars. Then, the square images were resized into 128x128 px using an anti-aliasing filter.
# Classes 196
# Images 16185
Keywords vehicles, cars
Data Format images
Image size 128x128
License
(original data release)		 ImageNet License
License URL
(original data release)		 https://ai.stanford.edu/~jkrause/cars/car_dataset.html
https://www.image-net.org/download.php
License
(Meta-Album data release)		 ImageNet License
License URL
(Meta-Album data release)		 https://www.image-net.org/download.php
Source Stanford Cars Dataset
Source URL https://ai.stanford.edu/~jkrause/cars/car_dataset.html
Original Author Jonathan Krause, Michael Stark, Jia Deng, Li Fei-Fei
Original contact jkrause@cs.stanford.edu
Meta Album author Philip Boser
Created Date 01 March 2022
Contact Name Ihsan Ullah
Contact Email meta-album@chalearn.org
Contact URL https://meta-album.github.io/

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Dataset Info Datasheet

Download Dataset from OpenML

Dataset Version OpenML ID
Micro 44245 Download
Mini 44289 Download
Extended 44323 Download

Code to download dataset using OpenML API

      # import openml
      import openml
  
      # download dataset with DATASET_ID. DATASET_ID is OpenML ID
      dataset = openml.datasets.get_dataset(DATASET_ID)
  
      # display dataset info
      print(dataset.name)

Sample Images

Cite this dataset 

@inproceedings{KrauseStarkDengFei-Fei_3DRR2013,
  title = {3D Object Representations for Fine-Grained Categorization},
  booktitle = {4th International IEEE Workshop on  3D Representation and Recognition (3dRR-13)},
  year = {2013},
  address = {Sydney, Australia},
  author = {Jonathan Krause and Michael Stark and Jia Deng and Li Fei-Fei}
}
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Cite Meta-Album

  @inproceedings{meta-album-2022,
    title={Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification},
    author={Ullah, Ihsan and Carrion, Dustin and Escalera, Sergio and Guyon, Isabelle M and Huisman, Mike and Mohr, Felix and van Rijn, Jan N and Sun, Haozhe and Vanschoren, Joaquin and Vu, Phan Anh},
    booktitle={Thirty-sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track},
    url = {https://meta-album.github.io/},
    year = {2022}
  }
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