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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 ClassificationImageNet-1K 20% synthetic label noise (test)computer vision16Feb 26, 2026
Image ClassificationCIFAR-10 (test)computer vision16Feb 26, 2026
Adversarial Image ClassificationCIFAR-100 (test)computer visionadversarial safety security16Feb 26, 2026
Image ClassificationImageNet 10% (train)computer vision16Feb 26, 2026
Image ClassificationImageNet 1% (train)computer vision16Feb 26, 2026
Image ClassificationImageNet 5-shot (train)computer vision16Feb 26, 2026
Image ClassificationImageNet 2-shot (train)computer vision16Feb 26, 2026
Image ClassificationImageNet 1-shot (train)computer vision16Feb 26, 2026
Image ClassificationOracle MNISTcomputer vision16Jul 2, 2026
Image ClassificationCIFAR-100 Symmetric Noisy Labels, r=0.6computer vision16Feb 26, 2026
Image ClassificationCIFAR-100 Symmetric Noisy Labels, r=0.4computer vision16Feb 26, 2026
Image ClassificationCIFAR-100 standard (test)computer vision16Feb 26, 2026
Image ClassificationCIFAR-10 standard (test)computer vision16Feb 26, 2026
Image ClassificationCIFAR100 (test)computer vision16Feb 27, 2026
ClassificationiWILDCamcomputer visionnlp+316Feb 26, 2026
Image ClassificationCIFAR-10 (test)computer vision16Feb 26, 2026
Image ClassificationImageNet (val)computer vision16Feb 26, 2026
Image ClassificationCIFAR-10computer vision16Feb 26, 2026
Image ClassificationImageWoof 128x128 (test)computer vision16Feb 26, 2026
Image ClassificationImageNette 128x128 (test)computer vision16Feb 26, 2026
Image ClassificationKathercomputer vision16Feb 26, 2026
Image ClassificationSportscomputer vision16Jun 5, 2026
Image ClassificationImageNet-Sketch 1.0 (test)computer vision16Jul 7, 2026
Image ClassificationCIFAR-100N Finecomputer vision16Feb 26, 2026
Image ClassificationSTL10 (Nl=150, M=100k, γl=10) long-tailed (test)computer vision16Feb 26, 2026