Collection Pics 200zip -

: Includes a flat list of 10,000 images and a val_annotations.txt file that maps each image to its correct class for validation purposes.

200 distinct categories (e.g., animals, vehicles, everyday objects). Image Resolution: pixels (full-color JPEG format). Data Split: Training: 100,000 images (500 per class). Validation: 10,000 images (50 per class). Test: 10,000 images (unlabeled). Implementation Details COLLECTION PICS 200zip

Adding dataset Tiny-Imagenet · Issue #6127 · pytorch/vision - GitHub : Includes a flat list of 10,000 images