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Image Classification research benchmarks – Page 330 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

—

—Primary metric

0

Feb 26, 2026

—

—Primary metric

0

Feb 26, 2026

ImageNet (test)

—

—Robust Accuracy

0

Feb 26, 2026

Tiny-ImageNet LT

—

—Primary metric

0

Feb 26, 2026

—

—Natural Accuracy

0

Feb 26, 2026

ImageNet 32-100 (test)

—

—Mean Robust Accuracy

0

Feb 26, 2026

CIFAR100 (test)

—

—Natural Accuracy

0

Feb 26, 2026

CIFAR10 1 (train)

—

—Primary metric

0

Feb 26, 2026

—

—Accuracy

0

Feb 26, 2026

—

—Accuracy

0

Feb 26, 2026

—

—Accuracy

0

Feb 26, 2026

—

—Primary metric

0

Feb 26, 2026

—

—MAPE

0

Feb 26, 2026

—

—Accuracy

0

Feb 26, 2026

FGVCAircraft (val)

—

—Accuracy

0

Feb 26, 2026

CIFAR-10 (test)

—

—Primary metric

0

Feb 26, 2026

Office-Caltech10 Feature & Label Shifts (alpha=0.1) (test)

—

—Primary metric

0

Feb 26, 2026

CIFAR-100 Dirichlet 0.3 (test)

—

—Accuracy (500R)

0

Feb 26, 2026

CIFAR-10 500 clients 2% participation i.i.d. (test)

—

—Accuracy

0

Feb 26, 2026

CelebA LEAF (non-i.i.d.)

—

—Accuracy

0

Feb 26, 2026

FEMNIST LEAF (non-i.i.d.)

—

—Accuracy

0

Feb 26, 2026

CIFAR-100 (test)

—

—Acc @ 500R

0

Feb 26, 2026

CIFAR-10 (test)

—

—Accuracy @ 500R

0

Feb 26, 2026

CIFAR-10 500 clients 2% participation Dirichlet 0.6 (test)

—

—Accuracy (500 Rounds)

0

Feb 26, 2026

—

—Primary metric

0

Feb 26, 2026

Page 330 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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