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Papers Benchmarks Datasets Tasks

Image Classification research benchmarks – Page 329 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

—

—Primary metric

0

Feb 26, 2026

MNIST LabelSkew(4)

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—Variance of Accuracy

0

Feb 26, 2026

MNIST Diri(1.0)

—

—Variance (Acc)

0

Feb 26, 2026

TF-Flowers (val)

—

—Primary metric

0

Feb 26, 2026

iNaturalist 2021 (full)

—

—Primary metric

0

Feb 26, 2026

CIFAR-10 (test)

—

—Accuracy (SA)

0

Feb 26, 2026

CIFAR-100 (test)

—

—SA

0

Feb 26, 2026

FMNIST standard (test)

—

—IID Error Rate

0

Feb 26, 2026

CIFAR-10 (test)

—

—Retention Accuracy

0

Feb 26, 2026

—

—F1 Score

0

Feb 26, 2026

—

—Clean Accuracy

0

Feb 26, 2026

—

—Accuracy (Clean)

0

Feb 26, 2026

—

—Clean Accuracy

0

Feb 26, 2026

—

—Adversarial Accuracy

0

Feb 26, 2026

—

—Adversarial Accuracy

0

Feb 26, 2026

—

—Robust Accuracy

0

Feb 26, 2026

—

—Robust Accuracy

0

Feb 26, 2026

—

—Clean Acc

0

Feb 26, 2026

—

—Clean Accuracy

0

Feb 26, 2026

ImageNet 1k (val)

—

—Top-1 Accuracy

0

Feb 26, 2026

ImageNet-1K (val)

—

—Clean Accuracy

0

Feb 26, 2026

—

—Primary metric

0

Feb 26, 2026

CIFAR-10 (test)

—

—Primary metric

0

Feb 26, 2026

—

—Rounds to 70% Acc

0

Feb 26, 2026

—

—Primary metric

0

Feb 26, 2026

Page 329 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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