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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 22K pre-trained (val)computer vision7Feb 26, 2026
Image ClassificationCIFAR-10computer vision7Feb 26, 2026
k-NN Image ClassificationFood101computer vision7Feb 26, 2026
k-NN Image ClassificationStanfordCarscomputer vision7Feb 26, 2026
Remote Sensing Image ClassificationSentinel-2 benchmark suitecomputer vision7Feb 26, 2026
Remote Sensing Image Classificationm-SA crop-typecomputer vision7Feb 26, 2026
Remote Sensing Image Classificationm-cashewcomputer vision7Feb 26, 2026
Remote Sensing Image Classificationm-eurosatcomputer vision7Feb 26, 2026
Remote Sensing Image Classificationm-bigearthnetcomputer vision7Feb 26, 2026
Image ClassificationCIFAR-100computer vision7Feb 26, 2026
Image ClassificationCIFAR-10computer vision7Feb 26, 2026
Image ClassificationFood-101 16K sequence length (test)computer vision7Feb 26, 2026
Image Classificationmodel-vs-human OOD Aggregate (test)computer vision7Feb 26, 2026
Image ClassificationCIFAR-10 Class imbalance Standardcomputer vision7Feb 26, 2026
Image ClassificationCIFAR-10 Schematic confusion Standardcomputer vision7Feb 26, 2026
Image ClassificationCIFAR-10 80% flips Standardcomputer vision7Feb 26, 2026
Image ClassificationCIFAR-10 40% flips Standardcomputer vision7Feb 26, 2026
Image ClassificationCIFAR-100 Class imbalance (test)computer vision7Feb 26, 2026
Image ClassificationCIFAR-100 Schematic confusion (test)computer vision7Feb 26, 2026
Image ClassificationCIFAR-100 80% label flips (test)computer vision7Feb 26, 2026
Image ClassificationCIFAR-100 40% label flips (test)computer vision7Feb 26, 2026
Image ClassificationImageNet-1Kcomputer vision7Feb 27, 2026
Image ClassificationCIFAR100computer vision7Feb 26, 2026
Image ClassificationCIFAR10computer vision7Feb 26, 2026
Image ClassificationMNISTcomputer vision7Feb 26, 2026