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Papers Benchmarks Datasets Tasks

Image Classification research benchmarks – Page 5 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

ImageWoof (test)

89.3Accuracy

254

Jun 2, 2026

95.94Top-1 Accuracy

251

Jun 30, 2026

91.6Accuracy

251

May 29, 2026

ImageNet-100 (val)

asymmetric knowledge distillation framework

89.11Top-1 Accuracy

250

Jul 7, 2026

98Accuracy

246

Mar 10, 2026

Oxford Flowers 102

99.56Accuracy

244

Jul 8, 2026

99.1Accuracy

240

Feb 27, 2026

98.8Accuracy

240

Mar 31, 2026

98.93Accuracy (ClipArt)

238

May 12, 2026

ImageNet 2012 (val)

FixEfficientNet-L2

88.5Top-1 Accuracy

237

Jun 9, 2026

ImageNet (test)

81.32Top-1 Acc

235

Jun 15, 2026

CIFAR-100 Long-Tailed (test)

83.6Top-1 Accuracy

234

Apr 7, 2026

mini-ImageNet (test)

Spectral VMamba-B

88.17Top-1 Accuracy

232

Jul 1, 2026

ImageNet V2 (test)

84.3Top-1 Accuracy

232

Jun 25, 2026

iNaturalist 2018 (test)

84.5Top-1 Accuracy

232

Jun 29, 2026

90Top-1 Accuracy

230

Mar 17, 2026

96.92Accuracy

228

Mar 27, 2026

99.74Accuracy

226

May 1, 2026

CIFAR-10 (test)

96.03Accuracy

225

Jun 26, 2026

71Top-1 Acc

225

Jun 4, 2026

CIFAR-10 NAS-Bench-201 (test)

95.46Accuracy

225

May 22, 2026

Full-data Training

95.27Overall Accuracy

223

Mar 31, 2026

88.01Accuracy

223

May 26, 2026

Oxford Flowers-102 (test)

Efficient Adaptive Ensembling

99.847Top-1 Accuracy

221

Jun 30, 2026

Oxford-IIIT Pet

JFT - Adaptive Transfer

97.1Accuracy

219

Mar 19, 2026

Page 5 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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