# 3D Semantic Segmentation on S3DIS (all six areas)

Source: [3D Semantic Segmentation on S3DIS (all six areas)](<https://www.sota2.com/research/sota/3d-semantic-segmentation-on-s3dis-all-six-areas>)

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

Data updated: 2026-02-27T06:37:59.254Z

Evaluation of 3D Semantic Segmentation performance across all six areas of the Stanford Indoor Dataset (S3DIS).

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 | 3D Semantic Segmentation |
| Dataset (including any stated split) | S3DIS 1 (all six areas) |
| Metric | Overall Accuracy (OA) |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 6 of 6 |
| 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

- [Overall Accuracy (OA)](<https://www.sota2.com/research/sota/3d-semantic-segmentation-on-s3dis-all-six-areas.md?metric=Overall%20Accuracy%20(OA)>): Higher is better; unit: PERCENT.

- [Mean IoU (mIoU)](<https://www.sota2.com/research/sota/3d-semantic-segmentation-on-s3dis-all-six-areas.md?metric=Mean%20IoU%20(mIoU)>): Higher is better; unit: PERCENT.

- [IoU (Ceiling)](<https://www.sota2.com/research/sota/3d-semantic-segmentation-on-s3dis-all-six-areas.md?metric=IoU%20(Ceiling)>): Higher is better; unit: PERCENT.

- [IoU (Floor)](<https://www.sota2.com/research/sota/3d-semantic-segmentation-on-s3dis-all-six-areas.md?metric=IoU%20(Floor)>): Higher is better; unit: PERCENT.

- [IoU (Wall)](<https://www.sota2.com/research/sota/3d-semantic-segmentation-on-s3dis-all-six-areas.md?metric=IoU%20(Wall)>): Higher is better; unit: PERCENT.

- [IoU (Beam)](<https://www.sota2.com/research/sota/3d-semantic-segmentation-on-s3dis-all-six-areas.md?metric=IoU%20(Beam)>): Higher is better; unit: PERCENT.

- [IoU (Column)](<https://www.sota2.com/research/sota/3d-semantic-segmentation-on-s3dis-all-six-areas.md?metric=IoU%20(Column)>): Higher is better; unit: PERCENT.

- [IoU (Window)](<https://www.sota2.com/research/sota/3d-semantic-segmentation-on-s3dis-all-six-areas.md?metric=IoU%20(Window)>): Higher is better; unit: PERCENT.

- [IoU (Door)](<https://www.sota2.com/research/sota/3d-semantic-segmentation-on-s3dis-all-six-areas.md?metric=IoU%20(Door)>): Higher is better; unit: PERCENT.

- [IoU (Chair)](<https://www.sota2.com/research/sota/3d-semantic-segmentation-on-s3dis-all-six-areas.md?metric=IoU%20(Chair)>): Higher is better; unit: PERCENT.

- [IoU (Table)](<https://www.sota2.com/research/sota/3d-semantic-segmentation-on-s3dis-all-six-areas.md?metric=IoU%20(Table)>): Higher is better; unit: PERCENT.

- [IoU (Bookcase)](<https://www.sota2.com/research/sota/3d-semantic-segmentation-on-s3dis-all-six-areas.md?metric=IoU%20(Bookcase)>): Higher is better; unit: PERCENT.

- [IoU (Sofa)](<https://www.sota2.com/research/sota/3d-semantic-segmentation-on-s3dis-all-six-areas.md?metric=IoU%20(Sofa)>): Higher is better; unit: PERCENT.

- [IoU (Board)](<https://www.sota2.com/research/sota/3d-semantic-segmentation-on-s3dis-all-six-areas.md?metric=IoU%20(Board)>): Higher is better; unit: PERCENT.

- [IoU (Clutter)](<https://www.sota2.com/research/sota/3d-semantic-segmentation-on-s3dis-all-six-areas.md?metric=IoU%20(Clutter)>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Overall Accuracy (OA) | Result date | Report paper |
| --- | --- | --- | --- |
| MuGNet | 88.5 | Not recorded | 68fa692e1e209131cea209c2 |
| RandLA-Net | 88 | Not recorded | 68fa692e1e209131cea209c2 |
| SPG | 85.5 | Not recorded | 68fa692e1e209131cea209c2 |
| DGCNN | 84.1 | Not recorded | 68fa692e1e209131cea209c2 |
| Engelmann et al. | 81.1 | Not recorded | 68fa692e1e209131cea209c2 |
| PointNet | 78.5 | Not recorded | 68fa692e1e209131cea209c2 |

### MuGNet

Overall Accuracy (OA): 88.5. Result ID: 69a13bad35dfcabb00e5a8c0.

[Reporting paper](<https://www.sota2.com/research/paper/68fa692e1e209131cea209c2.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa692e1e209131cea209c2.md>)

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

### RandLA-Net

Overall Accuracy (OA): 88. Result ID: 69a13bad35dfcabb00e5a8bf.

[Reporting paper](<https://www.sota2.com/research/paper/68fa692e1e209131cea209c2.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa67771e209131cea16862.md>)

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

### SPG

Overall Accuracy (OA): 85.5. Result ID: 69a13bad35dfcabb00e5a8be.

[Reporting paper](<https://www.sota2.com/research/paper/68fa692e1e209131cea209c2.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa642f1e209131cea03453.md>)

[Implementation](<https://github.com/loicland/superpoint_graph>)

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

### DGCNN

Overall Accuracy (OA): 84.1. Result ID: 69a13bad35dfcabb00e5a8bd.

[Reporting paper](<https://www.sota2.com/research/paper/68fa692e1e209131cea209c2.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65e11e209131cea0d1ac.md>)

[Implementation](<https://github.com/WangYueFt/dgcnn>)

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

### Engelmann et al.

Overall Accuracy (OA): 81.1. Result ID: 69a13bad35dfcabb00e5a8bc.

[Reporting paper](<https://www.sota2.com/research/paper/68fa692e1e209131cea209c2.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa66d31e209131cea12aa9.md>)

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

### PointNet

Overall Accuracy (OA): 78.5. Result ID: 69a13bad35dfcabb00e5a8bb.

[Reporting paper](<https://www.sota2.com/research/paper/68fa692e1e209131cea209c2.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa634f1e209131ce9fe019.md>)

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

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