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Stanford Cars Dataset

Cars dataset contains 16,185 images of 196 car classes. The dataset is split into 8,144 training images and 8,041 test images, with each class roughly divided 50‑50. Classes typically include manufacturer, model, and year, e.g., 2012 Tesla Model S or 2012 BMW M3 coupe.

Updated 12/27/2021
github

Description

STANFORD CARS DATASET Overview

Dataset Description

  • Number of Images: 16,185
  • Number of Classes: 196 car models
  • Data Split:
    • Training Set: 8,144 images
    • Test Set: 8,041 images
  • Class Subdivision: Each class is roughly divided 50‑50
  • Class Details: Classes usually include manufacturer, model, and year, e.g., 2012 Tesla Model S or 2012 BMW M3 coupe.

Dataset Access

Dataset Structure

  • Dataset Directory Structure:
    • Training Set: Organized by car model, e.g., AM General Hummer SUV 2000 and Acura RL Sedan 2012.
    • Test Set: Similarly organized by car model, matching the training set organization.

Reference Links

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Topics

Vehicle Recognition
Image Classification

Source

Organization: github

Created: 11/20/2021

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