tanganke/stanford_cars

Stanford Cars Dataset

Dataset Overview

• Splits:
  • Training: 8144 images used for model training.
  • Test: 8041 images used for evaluation.
  • Contrast: 8041 images with high contrast for robustness testing.
  • Gaussian Noise: 8041 images corrupted by Gaussian noise for robustness testing.
  • Impulse Noise: 8041 images corrupted by impulse noise for robustness testing.
  • JPEG Compression: 8041 compressed images for robustness testing.
  • Motion Blur: 8041 images with motion blur for robustness testing.
  • Pixelate: 8041 pixelated images for robustness testing.
  • Spatter: 8041 images corrupted by spatter for robustness testing.

Usage Examples

from datasets import load_dataset

# Load the dataset in a tabular format with image URLs and metadata
dataset = load_dataset("tanganke/stanford_cars")

# Access the training set directly
train_set = dataset["train"]