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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 ClassificationPASCAL VOC 2012computer vision10Feb 26, 2026
Image ClassificationELEVATER ICinW (test)computer vision10Feb 26, 2026
Image ClassificationPets37computer vision10Mar 9, 2026
Image ClassificationCIFAR-10 (test)computer vision10Feb 26, 2026
Image ClassificationImageNet (test)computer vision10Jun 4, 2026
Image ClassificationCIFAR-100 (test)computer vision10Feb 26, 2026
Image ClassificationDTD (first split)computer vision10Feb 26, 2026
Image ClassificationSUN397 (first split)computer vision10Feb 26, 2026
Image ClassificationCIFAR10 (test)computer vision10Feb 26, 2026
Image ClassificationKuzushiji (test)computer vision10Feb 26, 2026
Image ClassificationQuickDraw (test)computer vision10Apr 21, 2026
Image ClassificationCIFAR10computer vision10Feb 26, 2026
Fine-grained Image ClassificationAircraftscomputer vision10Feb 26, 2026
Image ClassificationClothing1M clean 1.0 (test)computer vision10Feb 26, 2026
Image ClassificationLandmarks-User-160k (test)computer vision10Feb 26, 2026
Image ClassificationN-Carscomputer vision10Feb 26, 2026
Image Classificationmini-ImageNet-Blue (80% noise)computer vision10Feb 26, 2026
Image Classificationmini-ImageNet-Blue 40% noisecomputer vision10Feb 26, 2026
Image Classificationmini-ImageNet Blue (20% noise)computer vision10Feb 26, 2026
Image Classificationmini-ImageNet-Blue (0% noise)computer vision10Feb 26, 2026
Image ClassificationImageNet 1k (val)computer vision10Feb 26, 2026
Image ClassificationCifar10 (test)computer vision10Feb 26, 2026
Image ClassificationCIFAR-10 Symmetric Noise 0.2 (test)computer vision10Feb 26, 2026
Image ClassificationCIFAR-10 Asymmetric Noise, ε=0.3 (test)computer vision10Feb 26, 2026
Image ClassificationCIFAR-10 Asymmetric Noise, ε=0.2 (test)computer vision10Feb 26, 2026