---
license: mit
---

## Model Zoo
### 1. Indoor semantic segmentation
| Model | Benchmark | Additional Data | Num GPUs | Val mIoU | Config | Tensorboard | Exp Record |
| :---: | :---: |:---------------:| :---: | :---: | :---: | :---: | :---: |
| PTv3 | ScanNet |     ✗     | 4 | 77.6% | [link](https://github.com/Pointcept/Pointcept/blob/main/configs/scannet/semseg-pt-v3m1-0-base.py) | [link](https://huggingface.co/Pointcept/PointTransformerV3/tensorboard) | [link](https://huggingface.co/Pointcept/PointTransformerV3/tree/main/scannet-semseg-pt-v3m1-0-base) |
| PTv3 + PPT | ScanNet |     ✓     | 8 | 78.5% | [link](https://github.com/Pointcept/Pointcept/blob/main/configs/scannet/semseg-pt-v3m1-1-ppt-extreme.py) | [link](https://huggingface.co/Pointcept/PointTransformerV3/tensorboard) | [link](https://huggingface.co/Pointcept/PointTransformerV3/tree/main/scannet-semseg-pt-v3m1-1-ppt-extreme) |
| PTv3 | ScanNet200 |     ✗     | 4 | 35.3% | [link](https://github.com/Pointcept/Pointcept/blob/main/configs/scannet200/semseg-pt-v3m1-0-base.py) | [link](https://huggingface.co/Pointcept/PointTransformerV3/tensorboard) |[link](https://huggingface.co/Pointcept/PointTransformerV3/tree/main/scannet200-semseg-pt-v3m1-0-base)|
| PTv3 + PPT | ScanNet200 | ✓ (f.t.)  | 4 |  |  |  |  |
| PTv3 | S3DIS (Area5) |     ✗     | 4 | 73.6% | [link](https://github.com/Pointcept/Pointcept/blob/main/configs/s3dis/semseg-pt-v3m1-0-rpe.py) | [link](https://huggingface.co/Pointcept/PointTransformerV3/tensorboard) | [link](https://huggingface.co/Pointcept/PointTransformerV3/tree/main/s3dis-semseg-pt-v3m1-0-rpe) |
| PTv3 + PPT | S3DIS (Area5) |     ✓     | 8 | 75.4% | [link](https://github.com/Pointcept/Pointcept/blob/main/configs/s3dis/semseg-pt-v3m1-1-ppt-extreme.py) | [link](https://huggingface.co/Pointcept/PointTransformerV3/tensorboard) | [link](https://huggingface.co/Pointcept/PointTransformerV3/tree/main/s3dis-semseg-pt-v3m1-1-ppt-extreme) |

### 2. Outdoor semantic segmentation
| Model | Benchmark | Additional Data | Num GPUs | Val mIoU | Config | Tensorboard | Exp Record |
| :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |
| PTv3 | nuScenes | ✗ | 4 | 80.3 | [link](https://github.com/Pointcept/Pointcept/blob/main/configs/nuscenes/semseg-pt-v3m1-0-base.py) | [link](https://huggingface.co/Pointcept/PointTransformerV3/tensorboard)|[link](https://huggingface.co/Pointcept/PointTransformerV3/tree/main/nuscenes-semseg-pt-v3m1-0-base) |
| PTv3 + PPT | nuScenes | ✓ | 8 | | | | |
| PTv3 | SemanticKITTI | ✗ | 4 | | | | |
| PTv3 + PPT | SemanticKITTI | ✓ | 8 | | | | |
| PTv3 | Waymo | ✗ | 4 | 71.2 | [link](https://github.com/Pointcept/Pointcept/blob/main/configs/waymo/semseg-pt-v3m1-0-base.py) | [link](https://huggingface.co/Pointcept/PointTransformerV3/tensorboard) | [link](https://huggingface.co/Pointcept/PointTransformerV3/tree/main/waymo-semseg-pt-v3m1-0-base) (log only) |
| PTv3 + PPT | Waymo | ✓ | 8 | | | | |
* Model weights trained with Waymo Open Dataset cannot be released due to the regulations.