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metadata
license: creativeml-openrail-m
viewer: false
task_categories:
  - image-segmentation
tags:
  - 3d
  - point-cloud
  - semantic-segmentation
  - indoor
  - arkit

This dataset provides dense semantic annotations for the ARKitScenes dataset, creating a large-scale, real-world 3D dataset suitable for training 3D semantic segmentation models. It was presented in the paper ARKit LabelMaker: A New Scale for Indoor 3D Scene Understanding.

This repository contains preprocessed data ready for use with the Pointcept codebase (https://github.com/Pointcept/Pointcept), preprocessing code for the original ARKit LabelMaker dataset (https://huggingface.co/datasets/labelmaker/arkit_labelmaker), and some experiment configurations.