|
--- |
|
viewer: false |
|
license: bsd |
|
language: |
|
- en |
|
tags: |
|
- 3D semantic segmentation |
|
- indoor 3D scene dataset |
|
pretty_name: arkit_labelmaker |
|
size_categories: |
|
- 1K<n<10K |
|
--- |
|
|
|
# ARKit Labelmaker: A New Scale for Indoor 3D Scene Understanding |
|
|
|
[[arxiv]](https://arxiv.org/abs/2410.13924) [[website]](https://labelmaker.org/) |
|
|
|
We complement ARKitScenes dataset with dense semantic annotations that are automatically generated at scale. This produces the first large-scale, real-world 3D dataset with dense semantic annotations. |
|
Training on this auto-generated data, we push forward the state-of-the-art performance on ScanNet and ScanNet200 with prevalent 3D semantic segmentation models. |
|
|
|
|
