# Semantic Segmentation on BDD150

Source: [Semantic Segmentation on BDD150](<https://www.sota2.com/research/sota/semantic-segmentation-on-bdd150>)

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

Data updated: 2026-02-26T06:11:00.598Z

Evaluation of Semantic Segmentation performance on the BDD150 dataset, reporting metrics such as Mean Per-class Accuracy (mPA) and Mean Intersection over Union (mIoU).

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) | BDD150 |
| Metric | mPA (%) |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 5 of 5 |
| 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

- [mPA (%)](<https://www.sota2.com/research/sota/semantic-segmentation-on-bdd150.md?metric=mPA%20(%25)>): Higher is better; unit: PERCENT.

- [mIoU (%)](<https://www.sota2.com/research/sota/semantic-segmentation-on-bdd150.md?metric=mIoU%20(%25)>): Higher is better; unit: PERCENT.

## Recorded results

| Method | mPA (%) | Result date | Report paper |
| --- | --- | --- | --- |
| MSPFN | 52.96 | Not recorded | 68fa673c1e209131cea15188 |
| PreNet | 50.28 | Not recorded | 68fa673c1e209131cea15188 |
| MSPFN\* | 50.25 | Not recorded | 68fa673c1e209131cea15188 |
| RESCAN | 45.34 | Not recorded | 68fa673c1e209131cea15188 |
| Rain input | 33.29 | Not recorded | 68fa673c1e209131cea15188 |

### MSPFN

mPA (%): 52.96. Result ID: 698d244a8b517eb4331f4dca.

[Reporting paper](<https://www.sota2.com/research/paper/68fa673c1e209131cea15188.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa673c1e209131cea15188.md>)

[Implementation](<https://github.com/kuihua/MSPFN>)

Recorded evaluation configuration: {"Algorithm":"RefineNet"}. This record does not assert independent reproduction.

### PreNet

mPA (%): 50.28. Result ID: 698d244a8b517eb4331f4dc8.

[Reporting paper](<https://www.sota2.com/research/paper/68fa673c1e209131cea15188.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65bd1e209131cea0c11a.md>)

[Implementation](<https://github.com/csdwren/PReNet>)

Recorded evaluation configuration: {"Algorithm":"RefineNet"}. This record does not assert independent reproduction.

### MSPFN\*

mPA (%): 50.25. Result ID: 698d244a8b517eb4331f4dc9.

[Reporting paper](<https://www.sota2.com/research/paper/68fa673c1e209131cea15188.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa673c1e209131cea15188.md>)

[Implementation](<https://github.com/kuihua/MSPFN>)

Recorded evaluation configuration: {"Algorithm":"RefineNet"}. This record does not assert independent reproduction.

### RESCAN

mPA (%): 45.34. Result ID: 698d244a8b517eb4331f4dc7.

[Reporting paper](<https://www.sota2.com/research/paper/68fa673c1e209131cea15188.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64a51e209131cea05d7a.md>)

[Implementation](<https://xialipku.github.io/RESCAN>)

Recorded evaluation configuration: {"Algorithm":"RefineNet"}. This record does not assert independent reproduction.

### Rain input

mPA (%): 33.29. Result ID: 698d244a8b517eb4331f4dc6.

[Reporting paper](<https://www.sota2.com/research/paper/68fa673c1e209131cea15188.md>)

Recorded evaluation configuration: {"Algorithm":"RefineNet"}. This record does not assert independent reproduction.

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