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"]