Datasets:

labelmaker
/

arkit_labelmaker

Tasks:

Image Segmentation

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Tags:

3D semantic segmentation

indoor 3D scene dataset

pointcloud-segmentation

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quantaji commited on Mar 18

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 # 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.

 # ARKit Labelmaker: A New Scale for Indoor 3D Scene Understanding
+[[arxiv]](https://arxiv.org/abs/2410.13924)  [[website]](https://labelmaker.org/) [[checkpoints]](https://huggingface.co/labelmaker/PTv3-ARKit-LabelMaker)
 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.