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Dataset assetOpen Source CommunityImage ClassificationVehicle Recognition
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.
Source
github
Created
Nov 20, 2021
Updated
Dec 27, 2021
Signals
994 views
Availability
Linked source ready
Overview
Dataset description and usage context
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
- Training Set Images: Download Link
- Test Set Images: Download Link
- Training Set Labels: Download Link
- Test Set Labels: Download Link
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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