For Python users, this dataset is commonly loaded using libraries like or TensorFlow via torchvision.datasets or tensorflow_datasets .

: Organized into 200 subdirectories, each containing 500 images for that specific class.

: Contains the WordNet IDs (unique identifiers) for the 200 classes.

Adding dataset Tiny-Imagenet · Issue #6127 · pytorch/vision - GitHub

Originally created for Stanford’s course, this dataset is a scaled-down version of the massive ImageNet database, designed to be more manageable for training models on standard hardware while remaining complex enough for meaningful research. Content: 120,000 total images.