Datasets › Small ImageNet 150

Small ImageNet 150

Introduced by Delyan Boychev in Interpretable Computer Vision Models through Adversarial Training: Unveiling the Robustness-Interpretability Connection4 Jul 2023 archive 2025-07-28

This new dataset represents a subset of the ImageNet1k. It consists of 99000 images and 150 classes. 90000 of them are for training, 600 images for each class. The validation test size is 7500. For testing, we add 1500 images from the ImageNetV2 Top-Images dataset to the validation.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

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Tasks archive 2025-07-28

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License archive 2025-07-28

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Modalities archive 2025-07-28

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Languages archive 2025-07-28

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Variants archive 2025-07-28

  • Small ImageNet 150

1 variant name, as the archive lists them.

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