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Benchmarks for “image classification”

Compare state-of-the-art methods across the tasks and datasets used to measure AI progress.

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TaskDatasetDomainTrendResultsLast update
Image ClassificationTiny-ImageNet Non-IID-1, α = 0.1computer vision11Mar 4, 2026
Image ClassificationCIFAR-100 Non-IID-2, s = 5computer vision11Mar 4, 2026
Image ClassificationCIFAR-100 Non-IID-2, s = 10computer vision11Mar 4, 2026
Image ClassificationCIFAR-100 Non-IID-1, α = 0.01computer vision11Mar 4, 2026
Image ClassificationCIFAR-10 (test)computer vision11Feb 27, 2026
Image ClassificationCIFAR-10computer vision11Feb 27, 2026
Image ClassificationImageNetcomputer vision11Feb 27, 2026
Image ClassificationCIFAR-10 l_inf threat model, epsilon=8/255 1.0 (test)computer vision11Feb 27, 2026
Image ClassificationMNIST (test)computer vision11Feb 26, 2026
Image ClassificationCIFAR-100computer vision11Feb 26, 2026
Image ClassificationSTL-10computer vision11Feb 27, 2026
Image ClassificationCIFAR-10computer vision11Feb 26, 2026
Image ClassificationSTL-10 (test)computer vision11Feb 26, 2026
Image ClassificationUCF101computer vision11May 1, 2026
Active Learning Image ClassificationCheXpert 1.0 (test)computer visionnlp11Feb 26, 2026
Active Learning Image ClassificationCIFAR-10+100 1.0 (test)computer visionnlp11Feb 26, 2026
Active Learning Image ClassificationF+MNIST 1.0 (test)computer visionnlp11Feb 26, 2026
Image ClassificationCIFAR-10 (test)computer vision11Feb 26, 2026
Image ClassificationCIFAR-100 (test)computer vision11Feb 26, 2026
Image ClassificationCelebA-H (test)computer vision11Feb 26, 2026
Image ClassificationCIFAR-10 (test)computer vision11Feb 26, 2026
Image ClassificationFlowers 100computer vision11Feb 26, 2026
Image ClassificationCaltech-100computer vision11Feb 26, 2026
Image ClassificationFood-100computer vision11Feb 26, 2026
Image ClassificationCIFAR10 (train test)computer vision11Feb 26, 2026