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--- |
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language: |
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- en |
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license: bsd |
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size_categories: |
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- 1K<n<10K |
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pretty_name: arkit_labelmaker |
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viewer: false |
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tags: |
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- 3D semantic segmentation |
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- indoor 3D scene dataset |
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- pointcloud-segmentation |
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task_categories: |
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- image-segmentation |
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--- |
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# ARKit Labelmaker: A New Scale for Indoor 3D Scene Understanding |
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[[arxiv]](https://arxiv.org/abs/2410.13924) [[website]](https://labelmaker.org/) [[checkpoints]](https://huggingface.co/labelmaker/PTv3-ARKit-LabelMaker) [[code]](https://github.com/cvg/LabelMaker) |
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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. |
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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. |
