Datasets:
ArXiv:
License:
| 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. |