# Facial Expression Recognition on FER Public 2013 (test)

Source: [Facial Expression Recognition on FER Public 2013 (test)](<https://www.sota2.com/research/sota/facial-expression-recognition-on-fer-public-2013-test>)

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

Data updated: 2026-02-26T05:31:58.032Z

Evaluation of Facial Expression Recognition performance on the test split of the FER Public 2013 dataset, typically measured using Accuracy.

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 | Facial Expression Recognition |
| Dataset (including any stated split) | FER Public 2013 (test) |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 10 of 10 |
| 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/facial-expression-recognition-on-fer-public-2013-test.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| VGG-VD-16 | 72.05 | Not recorded | 68fa62d41e209131ce9fb6df |
| WuJie1010 | 71.58 | Not recorded | 6937ad2b6cfd488761a4e9e6 |
| OCFER-Net | 71.218 | Not recorded | 6937ad2b6cfd488761a4e9e6 |
| VGG-M | 71.08 | Not recorded | 68fa62d41e209131ce9fb6df |
| AlexNet | 70.47 | Not recorded | 68fa62d41e209131ce9fb6df |
| Resnet-50 | 69.23 | Not recorded | 68fa62d41e209131ce9fb6df |
| Resnet-50 | 67.79 | Not recorded | 68fa62d41e209131ce9fb6df |
| VGG-VD-16 | 66.92 | Not recorded | 68fa62d41e209131ce9fb6df |
| VGG-M | 66.04 | Not recorded | 68fa62d41e209131ce9fb6df |
| AlexNet | 62.44 | Not recorded | 68fa62d41e209131ce9fb6df |

### VGG-VD-16

Accuracy: 72.05. Result ID: 698be297ecace47ef55991e0.

[Reporting paper](<https://www.sota2.com/research/paper/68fa62d41e209131ce9fb6df.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa62d41e209131ce9fb6df.md>)

[Implementation](<http://www.robots.ox.ac.uk/vgg/data/facevalue>)

Recorded evaluation configuration: {"Pretraining":"VGGFaces"}. This record does not assert independent reproduction.

### WuJie1010

Accuracy: 71.58. Result ID: 6998825c5698665ec4e39841.

[Reporting paper](<https://www.sota2.com/research/paper/6937ad2b6cfd488761a4e9e6.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### OCFER-Net

Accuracy: 71.218. Result ID: 6998825c5698665ec4e39842.

[Reporting paper](<https://www.sota2.com/research/paper/6937ad2b6cfd488761a4e9e6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6937ad2b6cfd488761a4e9e6.md>)

Recorded evaluation configuration: {"Backbone":"ResNet-18"}. This record does not assert independent reproduction.

### VGG-M

Accuracy: 71.08. Result ID: 698be297ecace47ef55991de.

[Reporting paper](<https://www.sota2.com/research/paper/68fa62d41e209131ce9fb6df.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa62d41e209131ce9fb6df.md>)

[Implementation](<http://www.robots.ox.ac.uk/vgg/data/facevalue>)

Recorded evaluation configuration: {"Pretraining":"VGGFaces"}. This record does not assert independent reproduction.

### AlexNet

Accuracy: 70.47. Result ID: 698be297ecace47ef55991dd.

[Reporting paper](<https://www.sota2.com/research/paper/68fa62d41e209131ce9fb6df.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa62d41e209131ce9fb6df.md>)

[Implementation](<http://www.robots.ox.ac.uk/vgg/data/facevalue>)

Recorded evaluation configuration: {"Pretraining":"VGGFaces"}. This record does not assert independent reproduction.

### Resnet-50

Accuracy: 69.23. Result ID: 698be297ecace47ef55991df.

[Reporting paper](<https://www.sota2.com/research/paper/68fa62d41e209131ce9fb6df.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa62d41e209131ce9fb6df.md>)

[Implementation](<http://www.robots.ox.ac.uk/vgg/data/facevalue>)

Recorded evaluation configuration: {"Pretraining":"VGGFaces"}. This record does not assert independent reproduction.

### Resnet-50

Accuracy: 67.79. Result ID: 698be297ecace47ef55991db.

[Reporting paper](<https://www.sota2.com/research/paper/68fa62d41e209131ce9fb6df.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa62d41e209131ce9fb6df.md>)

[Implementation](<http://www.robots.ox.ac.uk/vgg/data/facevalue>)

Recorded evaluation configuration: {"Pretraining":"ImageNet"}. This record does not assert independent reproduction.

### VGG-VD-16

Accuracy: 66.92. Result ID: 698be297ecace47ef55991dc.

[Reporting paper](<https://www.sota2.com/research/paper/68fa62d41e209131ce9fb6df.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa62d41e209131ce9fb6df.md>)

[Implementation](<http://www.robots.ox.ac.uk/vgg/data/facevalue>)

Recorded evaluation configuration: {"Pretraining":"ImageNet"}. This record does not assert independent reproduction.

### VGG-M

Accuracy: 66.04. Result ID: 698be297ecace47ef55991da.

[Reporting paper](<https://www.sota2.com/research/paper/68fa62d41e209131ce9fb6df.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa62d41e209131ce9fb6df.md>)

[Implementation](<http://www.robots.ox.ac.uk/vgg/data/facevalue>)

Recorded evaluation configuration: {"Pretraining":"ImageNet"}. This record does not assert independent reproduction.

### AlexNet

Accuracy: 62.44. Result ID: 698be297ecace47ef55991d9.

[Reporting paper](<https://www.sota2.com/research/paper/68fa62d41e209131ce9fb6df.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa62d41e209131ce9fb6df.md>)

[Implementation](<http://www.robots.ox.ac.uk/vgg/data/facevalue>)

Recorded evaluation configuration: {"Pretraining":"ImageNet"}. This record does not assert independent reproduction.

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