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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 ClassificationFEMNIST (non-iid)computer vision13Feb 26, 2026
Image ClassificationCelebA HQ (test)computer vision13Feb 26, 2026
Image ClassificationColorMNIST reversed (test)computer vision13Feb 27, 2026
Image ClassificationSTL-10computer vision13Feb 26, 2026
Image ClassificationCIFAR-100computer vision13Feb 26, 2026
Image ClassificationCIFAR-10 LTcomputer vision13Feb 26, 2026
Medical Image ClassificationCamelyon17 OOD WILDS (test)bio medicalcomputer vision13Feb 26, 2026
Image ClassificationImageNet-1K 1.0 (val)computer vision13Feb 26, 2026
Image ClassificationCIFAR-10 20% asymmetric noisecomputer vision13Feb 26, 2026
Image ClassificationVTAB (Visual Task Adaptation Benchmark) (test)computer vision13Feb 26, 2026
Image ClassificationPascal VOC 2007 (val)computer vision13Feb 26, 2026
Image ClassificationCIFAR-100-LT ($ ho=100$) (test)computer vision13Feb 26, 2026
Image ClassificationCIFAR-10 (test)computer vision13Feb 26, 2026
Image ClassificationImageWoof 128x128computer vision13Feb 27, 2026
Image ClassificationImageNette 128x128computer vision13Feb 27, 2026
Image ClassificationLong-tailed CIFAR-100 Imbalance factor 0.1 (test)computer vision13Feb 26, 2026
Image ClassificationASL-DVS (test)computer vision13Feb 26, 2026
Image ClassificationOxford-IIIT Pets (val)computer vision13Feb 26, 2026
Image ClassificationBSCD-FSL 8 target domains: CUB, Cars, Plantae, Places, CropDisease, EuroSAT, ISIC, ChestX standard (test)computer vision13Feb 26, 2026
Image ClassificationSVHN (train test)computer vision13Feb 26, 2026
Image ClassificationImageNet-S Sketch 1.0 (val)computer vision13Feb 26, 2026
Image ClassificationImageNet 34 (val)computer vision13Feb 26, 2026
Image ClassificationminiImageNetcomputer vision13Feb 26, 2026
Image ClassificationImageNet 32x32 1000 categories (test)computer vision13Feb 26, 2026
Long-tailed Image ClassificationCIFAR-100-LT gamma=20, beta=40% (test)computer vision13Feb 26, 2026