# Semantic Segmentation on TACO 10 Epochs (test)

Source: [Semantic Segmentation on TACO 10 Epochs (test)](<https://www.sota2.com/research/sota/semantic-segmentation-on-taco-10-epochs-test>)

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

Data updated: 2026-06-11T08:26:43.088Z

Evaluation of Semantic Segmentation performance on the test split of the TACO 10 Epochs dataset, reporting metrics like Mean IoU, Mean Precision, and Mean F1 Pixel 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 | Semantic Segmentation |
| Dataset (including any stated split) | TACO 10 Epochs (test) |
| Metric | mIoU |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 7 of 7 |
| 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

- [mIoU](<https://www.sota2.com/research/sota/semantic-segmentation-on-taco-10-epochs-test.md?metric=mIoU>): Higher is better; unit: PERCENT.

- [Mean Precision](<https://www.sota2.com/research/sota/semantic-segmentation-on-taco-10-epochs-test.md?metric=Mean%20Precision>): Higher is better; unit: PERCENT.

- [Mean F1 Score](<https://www.sota2.com/research/sota/semantic-segmentation-on-taco-10-epochs-test.md?metric=Mean%20F1%20Score>): Higher is better; unit: PERCENT.

## Recorded results

| Method | mIoU | Result date | Report paper |
| --- | --- | --- | --- |
| Fine-tuned SAM-ViT-H | 61.06 | Not recorded | 6a28f37590966ade919c197b |
| Fine-tuned SAM-ViT-L | 52.67 | Not recorded | 6a28f37590966ade919c197b |
| Fine-tuned SAM-ViT-B | 50.4 | Not recorded | 6a28f37590966ade919c197b |
| SAM-ViT-H | 46.29 | Not recorded | 6a28f37590966ade919c197b |
| SAM-ViT-L | 41.33 | Not recorded | 6a28f37590966ade919c197b |
| SAM-ViT-B | 40.25 | Not recorded | 6a28f37590966ade919c197b |
| DeepLabv3+ | 29.19 | Not recorded | 6a28f37590966ade919c197b |

### Fine-tuned SAM-ViT-H

mIoU: 61.06. Result ID: 6a2a7127fbc373592c278595.

[Reporting paper](<https://www.sota2.com/research/paper/6a28f37590966ade919c197b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a28f37590966ade919c197b.md>)

Recorded evaluation configuration: {"Backbone":"ViT-H","Fine-tuned":"true","Epochs":"10"}. This record does not assert independent reproduction.

### Fine-tuned SAM-ViT-L

mIoU: 52.67. Result ID: 6a2a7127fbc373592c278593.

[Reporting paper](<https://www.sota2.com/research/paper/6a28f37590966ade919c197b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a28f37590966ade919c197b.md>)

Recorded evaluation configuration: {"Backbone":"ViT-L","Fine-tuned":"true","Epochs":"10"}. This record does not assert independent reproduction.

### Fine-tuned SAM-ViT-B

mIoU: 50.4. Result ID: 6a2a7127fbc373592c278591.

[Reporting paper](<https://www.sota2.com/research/paper/6a28f37590966ade919c197b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a28f37590966ade919c197b.md>)

Recorded evaluation configuration: {"Backbone":"ViT-B","Fine-tuned":"true","Epochs":"10"}. This record does not assert independent reproduction.

### SAM-ViT-H

mIoU: 46.29. Result ID: 6a2a7127fbc373592c278594.

[Reporting paper](<https://www.sota2.com/research/paper/6a28f37590966ade919c197b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6f0a1e209131cea437f2.md>)

[Implementation](<https://segment-anything.com/>)

Recorded evaluation configuration: {"Backbone":"ViT-H","Fine-tuned":"false","Epochs":"10"}. This record does not assert independent reproduction.

### SAM-ViT-L

mIoU: 41.33. Result ID: 6a2a7127fbc373592c278592.

[Reporting paper](<https://www.sota2.com/research/paper/6a28f37590966ade919c197b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6f0a1e209131cea437f2.md>)

[Implementation](<https://segment-anything.com/>)

Recorded evaluation configuration: {"Backbone":"ViT-L","Fine-tuned":"false","Epochs":"10"}. This record does not assert independent reproduction.

### SAM-ViT-B

mIoU: 40.25. Result ID: 6a2a7127fbc373592c278590.

[Reporting paper](<https://www.sota2.com/research/paper/6a28f37590966ade919c197b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6f0a1e209131cea437f2.md>)

[Implementation](<https://segment-anything.com/>)

Recorded evaluation configuration: {"Backbone":"ViT-B","Fine-tuned":"false","Epochs":"10"}. This record does not assert independent reproduction.

### DeepLabv3+

mIoU: 29.19. Result ID: 6a2a7127fbc373592c27858f.

[Reporting paper](<https://www.sota2.com/research/paper/6a28f37590966ade919c197b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6c811e209131cea34624.md>)

[Implementation](<http://ai.bu.edu/zerowaste/>)

Recorded evaluation configuration: {"Fine-tuned":"false","Epochs":"10"}. This record does not assert independent reproduction.

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