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Papers Benchmarks Datasets Tasks

Image Classification research benchmarks – Page 333 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

CIFAR-10 S0 Standard DARTS space (test)

—

—Primary metric

0

Feb 26, 2026

ImageNet 1.0 (10% train)

—

—Top-1 Acc

0

Feb 26, 2026

CIFAR-10 4,000 labeled samples

—

—Primary metric

0

Feb 26, 2026

Ambiguous CelebA (meta-test)

—

—Primary metric

0

Feb 26, 2026

SVHN 500 labels

—

—Primary metric

0

Feb 26, 2026

ImageNet few-shot

—

—Novel Top-5 Acc

0

Feb 26, 2026

Places-LT v1 (test)

—

—Many-shot Accuracy

0

Feb 26, 2026

ImageNet Large-scale unseen classes (test)

—

—Top-1 Acc (Per-Class Avg)

0

Feb 26, 2026

—

—Primary metric

0

Feb 26, 2026

CIFAR-10 Pathological-2

—

—Test Accuracy

0

Feb 26, 2026

CIFAR-10 (Dirichlet-0.3)

—

—Test Accuracy

0

Feb 26, 2026

CIFAR-100 (test)

—

—Test Accuracy (Dirichlet α=0.1)

0

Feb 26, 2026

CIFAR-10 (test)

—

—Accuracy (Personal, Dirichlet α=0.1)

0

Feb 26, 2026

ImageNet-OOD Avg v1 (val)

—

—Average Accuracy

0

Feb 26, 2026

ImageNet-R v1 (val)

—

—Accuracy

0

Feb 26, 2026

ImageNet-V2 MatchedFrequency (val)

—

—Accuracy

0

Feb 26, 2026

ImageNet-A v1 (val)

—

—Accuracy

0

Feb 26, 2026

Page 333 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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