ImageNet-1k.

ImageNet-1k is a dataset used for image classification. It contains 1,281,167 training images, 50,000 validation images, and 100,000 test images. Each category in ImageNet-1k is a leaf category, meaning that there are no child nodes below it.

Best published scores.

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Neighbouring benchmarks.

Other Image Classification datasets on Codesota.

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• 01A public checkpoint or API endpoint
• 02A reproduction script with frozen commit + seed
• 03Declared evaluation environment (Python, deps)
• 04One row per metric declared by this dataset
• 05A contact so we can follow up on discrepancies