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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 ClassificationRotated MNIST SO(2) discretized (test)computer vision6Feb 26, 2026
Image ClassificationBAR (test)computer vision6Feb 26, 2026
Image ClassificationCOCO-on-Places (test)computer vision6Feb 26, 2026
Image ClassificationBiased MNIST v2 (test)computer vision6Feb 26, 2026
Image ClassificationImageNet (test)computer vision6Feb 26, 2026
Image ClassificationAWA2 (unseen)computer vision6Feb 26, 2026
Image ClassificationIndoor67computer vision6Feb 26, 2026
Image ClassificationVisDA-RSUTcomputer vision6Feb 26, 2026
Image ClassificationTiny-ImageNet augmented with 1x10^6 EDM-generated images (train)computer vision6Feb 26, 2026
Image ClassificationInst. C-10computer vision6Feb 26, 2026
Image ClassificationCIFAR100 static (test)computer vision6Feb 26, 2026
Image ClassificationUrbanCars (test)computer vision6Feb 26, 2026
Image ClassificationTissueMNIST 80 labels (test)computer vision6Feb 26, 2026
Image ClassificationSemi Aves 3959 labels (test)computer vision6Feb 26, 2026
Image ClassificationEuro-SAT 40 labelscomputer vision6Feb 26, 2026
Image ClassificationEuro-SAT 20 labelscomputer vision6Feb 26, 2026
Image ClassificationSTL-10 100 labelscomputer vision6Feb 26, 2026
Image ClassificationCIFAR-100 200 labelscomputer vision6Feb 26, 2026
Image Classification10 Diverse Domains (AwA, Caltech, CIFAR10, Daimler, GTSR, MNIST, Omniglot, Plankton, Sketches, SVHN)computer vision6Feb 26, 2026
Image ClassificationCOVIDx (test)computer vision6Feb 26, 2026
Image ClassificationCIFAR-100 (test)computer vision6Feb 26, 2026
Image ClassificationFood-101 (F-101) 1.0 (test)computer vision6Feb 26, 2026
Image ClassificationCIFAR10 (test)computer vision6Feb 26, 2026
Image ClassificationMultiMNISTcomputer vision6Feb 26, 2026
Image ClassificationVLCS OOD accuracycomputer vision6Feb 26, 2026