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Papers Benchmarks Datasets Tasks

Image Classification research benchmarks – Page 181 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Cotton Leaf Disease 1.0 (test)

0.89F1 Score

9

Feb 26, 2026

CIFAR-100 (test)

74.02Baseline Accuracy

9

Feb 26, 2026

99.13Accuracy

9

Feb 26, 2026

83.18Accuracy

9

Feb 26, 2026

Unbalanced IFCB Plankton Dataset (test)

EfficientNet-B0

97.61Accuracy

9

Feb 26, 2026

Balanced IFCB Plankton Dataset (test)

EfficientNet-B3

0.951Accuracy

9

Feb 26, 2026

Places365 (test)

55.4Accuracy

9

Feb 26, 2026

90.4Top-1 Accuracy

9

Mar 12, 2026

92.77Accuracy

9

Feb 26, 2026

CIFAR-10 (test)

64.2CIFAR-10 Classification Score

9

Feb 26, 2026

CIFAR-10 Kimi-VL

0.244CLIP Similarity (RN-50)

9

Feb 26, 2026

CIFAR-10 BLIP-2

0.24CLIP Similarity (RN-50)

9

Feb 26, 2026

CIFAR-10 OpenFlamingo

0.243CLIP Similarity (RN-50)

9

Feb 26, 2026

CIFAR-10 InternVL3

0.26CLIP Similarity (RN-50)

9

Feb 26, 2026

CIFAR-100 gamma=10 (Pathological)

43.83Accuracy

9

Feb 27, 2026

CIFAR-100 gamma=20 (Pathological)

0.479Accuracy

9

Feb 27, 2026

CIFAR-100 beta=0.6 (Dirichlet)

49.08Accuracy

9

Feb 27, 2026

CIFAR-10 gamma=3 (Pathological)

74.46Accuracy

9

Feb 27, 2026

CIFAR-10 gamma=6 (Pathological)

84.43Accuracy

9

Feb 27, 2026

CIFAR-10 Dirichlet beta=0.1

0.766Accuracy

9

Feb 27, 2026

Fashion-MNIST gamma=3 (Pathological)

85.31Accuracy

9

Feb 27, 2026

Fashion-MNIST gamma=6 (Pathological)

88.05Accuracy

9

Feb 27, 2026

Fashion-MNIST beta=0.1 (Dirichlet)

84.64Accuracy

9

Feb 27, 2026

Fashion-MNIST Dirichlet beta=0.6

88.46Accuracy

9

Feb 27, 2026

CIFAR-100 (test)

9,247.08Upload Throughput (x10^3 Scalars)

9

Feb 26, 2026

Page 181 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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