# Image Classification on CIFAR10 original (test) (Accuracy and Uncertainty Metrics)

Source: [Image Classification on CIFAR10 original (test) (Accuracy and Uncertainty Metrics)](<https://www.sota2.com/research/sota/image-classification-on-cifar10-original-test-accuracy-and-uncertainty-metrics>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-02-26T05:27:57.091Z

Evaluation of Image Classification performance on the original test split of the CIFAR-10 dataset, reporting standard accuracy alongside uncertainty metrics (LEEP, NCE, LogME).

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Image Classification |
| Dataset (including any stated split) | CIFAR10 original (test) |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 13 of 13 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [Accuracy](<https://www.sota2.com/research/sota/image-classification-on-cifar10-original-test-accuracy-and-uncertainty-metrics.md?metric=Accuracy>): Higher is better; unit: PERCENT.

- [LEEP](<https://www.sota2.com/research/sota/image-classification-on-cifar10-original-test-accuracy-and-uncertainty-metrics.md?metric=LEEP>): Lower is better; unit: SCALAR.

- [NCE](<https://www.sota2.com/research/sota/image-classification-on-cifar10-original-test-accuracy-and-uncertainty-metrics.md?metric=NCE>): Lower is better; unit: SCALAR.

- [LogME](<https://www.sota2.com/research/sota/image-classification-on-cifar10-original-test-accuracy-and-uncertainty-metrics.md?metric=LogME>): Higher is better; unit: SCALAR.

- [Tw](<https://www.sota2.com/research/sota/image-classification-on-cifar10-original-test-accuracy-and-uncertainty-metrics.md?metric=Tw>): Higher is better; unit: OTHER.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| ResNet-152 | 97.9 | Not recorded | 68fa6a381e209131cea26a62 |
| ResNet-101 | 97.7 | Not recorded | 68fa6a381e209131cea26a62 |
| Inception v3 | 97.5 | Not recorded | 68fa6a381e209131cea26a62 |
| DenseNet-169 | 97.4 | Not recorded | 68fa6a381e209131cea26a62 |
| DenseNet-201 | 97.4 | Not recorded | 68fa6a381e209131cea26a62 |
| DenseNet-121 | 97.2 | Not recorded | 68fa6a381e209131cea26a62 |
| ResNet-50 | 96.8 | Not recorded | 68fa6a381e209131cea26a62 |
| NASNet-A Mobile | 96.8 | Not recorded | 68fa6a381e209131cea26a62 |
| Inception v1 | 96.2 | Not recorded | 68fa6a381e209131cea26a62 |
| MobileNet v2 | 95.7 | Not recorded | 68fa6a381e209131cea26a62 |

### ResNet-152

Accuracy: 97.9. Result ID: 698e1e6dffc3901de09aee1e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a381e209131cea26a62.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa62321e209131ce9f8328.md>)

Recorded evaluation configuration: {"Backbone":"ResNet-152"}. This record does not assert independent reproduction.

### ResNet-101

Accuracy: 97.7. Result ID: 698e1e6dffc3901de09aee1d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a381e209131cea26a62.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa62321e209131ce9f8328.md>)

Recorded evaluation configuration: {"Backbone":"ResNet-101"}. This record does not assert independent reproduction.

### Inception v3

Accuracy: 97.5. Result ID: 698e1e6dffc3901de09aee23.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a381e209131cea26a62.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa62331e209131ce9f8333.md>)

Recorded evaluation configuration: {"Backbone":"Inception v3"}. This record does not assert independent reproduction.

### DenseNet-169

Accuracy: 97.4. Result ID: 698e1e6dffc3901de09aee20.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a381e209131cea26a62.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa63f31e209131cea01bfd.md>)

[Implementation](<https://github.com/liuzhuang13/DenseNet>)

Recorded evaluation configuration: {"Backbone":"DenseNet-169"}. This record does not assert independent reproduction.

### DenseNet-201

Accuracy: 97.4. Result ID: 698e1e6dffc3901de09aee21.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a381e209131cea26a62.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa63f31e209131cea01bfd.md>)

[Implementation](<https://github.com/liuzhuang13/DenseNet>)

Recorded evaluation configuration: {"Backbone":"DenseNet-201"}. This record does not assert independent reproduction.

### DenseNet-121

Accuracy: 97.2. Result ID: 698e1e6dffc3901de09aee1f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a381e209131cea26a62.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa63f31e209131cea01bfd.md>)

[Implementation](<https://github.com/liuzhuang13/DenseNet>)

Recorded evaluation configuration: {"Backbone":"DenseNet-121"}. This record does not assert independent reproduction.

### ResNet-50

Accuracy: 96.8. Result ID: 698e1e6dffc3901de09aee1c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a381e209131cea26a62.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa62321e209131ce9f8328.md>)

Recorded evaluation configuration: {"Backbone":"ResNet-50"}. This record does not assert independent reproduction.

### NASNet-A Mobile

Accuracy: 96.8. Result ID: 698e1e6dffc3901de09aee25.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a381e209131cea26a62.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65da1e209131cea0cc69.md>)

[Implementation](<https://github.com/tensorflow/tpu/tree/master/models/official/mnasnet>)

Recorded evaluation configuration: {"Backbone":"NASNet-A Mobile"}. This record does not assert independent reproduction.

### Inception v1

Accuracy: 96.2. Result ID: 698e1e6dffc3901de09aee22.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a381e209131cea26a62.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa61801e209131ce9f4ab4.md>)

Recorded evaluation configuration: {"Backbone":"Inception v1"}. This record does not assert independent reproduction.

### MobileNet v2

Accuracy: 95.7. Result ID: 698e1e6dffc3901de09aee24.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a381e209131cea26a62.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65811e209131cea0a9a1.md>)

[Implementation](<https://github.com/tensorflow/models/tree/master/research/slim/nets/mobilenet>)

Recorded evaluation configuration: {"Backbone":"MobileNet v2"}. This record does not assert independent reproduction.

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