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Papers Benchmarks Datasets Tasks

Object Classification research benchmarks – Page 5 · SOTA2 Research

Object Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

51.04Accuracy

4

Feb 26, 2026

CIFAR-10 (test)

FinP (with PCA)

78.47Accuracy

3

Jun 18, 2026

CIFAR-10 (train)

FinP (with PCA)

80.23Accuracy

3

Jun 18, 2026

98.7Accuracy

3

Jun 9, 2026

61.5Accuracy

3

Jun 9, 2026

nuScenes Triplet Dataset (test)

65.92Average Accuracy

3

Mar 10, 2026

Tiny-ImageNet-C v1 (test)

46.48Accuracy (Severity 1)

3

Feb 26, 2026

PACS Alexnet (val test)

87.03Accuracy (Photo)

3

Feb 26, 2026

Photo-Art-50 (test)

94.42Overall Accuracy

3

Feb 26, 2026

Vehicle dataset

99Accuracy (OC)

2

Feb 26, 2026

76.75Accuracy

2

Feb 26, 2026

Cornell Dataset (object-wise)

Regression + Classification

61.5Accuracy

2

Feb 26, 2026

Cornell Dataset image-wise

Regression + Classification

90Accuracy

2

Feb 26, 2026

AWA 10 classes (evaluation)

48.5Top-1 Acc

2

Feb 26, 2026

Proposed Hybrid ODT System

98.2OC Accuracy

1

Feb 26, 2026

—

—KNN Distance

0

Feb 26, 2026

VOC 2007 (train val)

—

—mAP

0

Feb 26, 2026

iNaturalist 2018 (train val)

—

—Top-1 Accuracy

0

Feb 26, 2026

Places205 (train val)

—

—Top-1 Accuracy

0

Feb 26, 2026

Page 5 of 5

Popular datasets

ModelNet ScanObjectNN ImageNet CIFAR Caltech

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