# Semantic Segmentation on EVA-2 17

Source: [Semantic Segmentation on EVA-2 17](<https://www.sota2.com/research/sota/semantic-segmentation-on-eva-2-17>)

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

Data updated: 2026-02-26T06:09:08.283Z

Evaluation of Semantic Segmentation performance on the EVA-2 17 dataset, reporting per-class and mean metrics including Accuracy and mIoU for specific object categories.

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) | EVA-2 17 |
| Metric | bed Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 2 of 2 |
| 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

- [bed Accuracy](<https://www.sota2.com/research/sota/semantic-segmentation-on-eva-2-17.md?metric=bed%20Accuracy>): Higher is better; unit: PERCENT.

- [bed mIoU](<https://www.sota2.com/research/sota/semantic-segmentation-on-eva-2-17.md?metric=bed%20mIoU>): Higher is better; unit: PERCENT.

- [pillow Accuracy](<https://www.sota2.com/research/sota/semantic-segmentation-on-eva-2-17.md?metric=pillow%20Accuracy>): Higher is better; unit: PERCENT.

- [pillow mIoU](<https://www.sota2.com/research/sota/semantic-segmentation-on-eva-2-17.md?metric=pillow%20mIoU>): Higher is better; unit: PERCENT.

- [lamp Accuracy](<https://www.sota2.com/research/sota/semantic-segmentation-on-eva-2-17.md?metric=lamp%20Accuracy>): Higher is better; unit: PERCENT.

- [lamp mIoU](<https://www.sota2.com/research/sota/semantic-segmentation-on-eva-2-17.md?metric=lamp%20mIoU>): Higher is better; unit: PERCENT.

- [window Accuracy](<https://www.sota2.com/research/sota/semantic-segmentation-on-eva-2-17.md?metric=window%20Accuracy>): Higher is better; unit: PERCENT.

- [window mIoU](<https://www.sota2.com/research/sota/semantic-segmentation-on-eva-2-17.md?metric=window%20mIoU>): Higher is better; unit: PERCENT.

- [painting Accuracy](<https://www.sota2.com/research/sota/semantic-segmentation-on-eva-2-17.md?metric=painting%20Accuracy>): Higher is better; unit: PERCENT.

- [painting mIoU](<https://www.sota2.com/research/sota/semantic-segmentation-on-eva-2-17.md?metric=painting%20mIoU>): Higher is better; unit: PERCENT.

- [Mean Accuracy](<https://www.sota2.com/research/sota/semantic-segmentation-on-eva-2-17.md?metric=Mean%20Accuracy>): Higher is better; unit: PERCENT.

- [Mean mIoU](<https://www.sota2.com/research/sota/semantic-segmentation-on-eva-2-17.md?metric=Mean%20mIoU>): Higher is better; unit: PERCENT.

## Recorded results

| Method | bed Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| DPT | 97.1 | Not recorded | 68fa6f8e1e209131cea4636d |
| StyleGAN | 95.8 | Not recorded | 68fa6f8e1e209131cea4636d |

### DPT

bed Accuracy: 97.1. Result ID: 6990c9f83a6c314849034b93.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6f8e1e209131cea4636d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa69a01e209131cea232d8.md>)

[Implementation](<https://github.com/intel-isl/DPT>)

Recorded evaluation configuration: {"backbone":"Vision Transformer"}. This record does not assert independent reproduction.

### StyleGAN

bed Accuracy: 95.8. Result ID: 6990c9f83a6c314849034b94.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6f8e1e209131cea4636d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6f8e1e209131cea4636d.md>)

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

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