---
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](https://huggingface.co/papers/2410.13924).

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