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| license: other | |
| language: | |
| - en | |
| task_categories: | |
| - text-classification | |
| - image-segmentation | |
| pretty_name: OpenScan | |
| size_categories: | |
| - 10K<n<100K | |
| tags: | |
| - 3d-scene-understanding | |
| - open-vocabulary | |
| - scannet200 | |
| - benchmark | |
| - aaaai-2026 | |
| # OpenScan | |
| OpenScan is a benchmark for generalized open-vocabulary 3D scene understanding. It extends ScanNet200-style scene understanding with eight object-attribute aspects: material, affordance, property, type, manner, synonyms, requirement, and element. | |
| This dataset mirror contains the OpenScan validation annotations and evaluation ground-truth files for the AAAI 2026 paper. | |
| ## Files | |
| | File | Description | | |
| | --- | --- | | |
| | `openscan_val_raw.json` | Raw validation annotations with one record per scene object. | | |
| | `openscan_label_mapping/` | Expanded TSV label mappings for all eight OpenScan aspects. | | |
| | `openscan_val_gt/` | Processed validation ground-truth files for evaluation. | | |
| The raw validation JSON contains 10,388 annotated objects from 312 validation scenes. The processed ground truth contains 312 scene files for each of the eight OpenScan aspects. | |
| ## Annotation Format | |
| Each raw annotation record has this structure: | |
| ```json | |
| { | |
| "scene_id": "scene0011_00", | |
| "object_id": "0", | |
| "object_name": "floor", | |
| "material": "stone", | |
| "affordance": "stand", | |
| "property": "other", | |
| "type": "land", | |
| "manner": "other", | |
| "synonyms": "other", | |
| "requirement": "other", | |
| "element": "other" | |
| } | |
| ``` | |
| ## Usage | |
| Load the raw validation annotation table with `datasets`: | |
| ```python | |
| from datasets import load_dataset | |
| dataset = load_dataset( | |
| "json", | |
| data_files="hf://datasets/garrying/OpenScan/openscan_val_raw.json", | |
| split="train", | |
| ) | |
| ``` | |
| Download the processed validation ground truth for evaluation: | |
| ```bash | |
| hf download garrying/OpenScan --repo-type dataset --local-dir . --include "openscan_val_gt/**" | |
| ``` | |
| The `openscan_val_gt/` directory contains: | |
| ```text | |
| gt_affordance/ | |
| gt_element/ | |
| gt_manner/ | |
| gt_material/ | |
| gt_property/ | |
| gt_requirement/ | |
| gt_synonyms/ | |
| gt_type/ | |
| ``` | |
| ## Project | |
| - Project page: https://youjunzhao.github.io/OpenScan/ | |
| - Code and evaluation: https://github.com/YoujunZhao/OpenScan | |
| - Paper: https://arxiv.org/abs/2408.11030 | |
| ## Citation | |
| ```bibtex | |
| @article{zhao2024openscan, | |
| title={OpenScan: A Benchmark for Generalized Open-Vocabulary 3D Scene Understanding}, | |
| author={Zhao, Youjun and Lin, Jiaying and Ye, Shuquan and Pang, Qianshi and Lau, Rynson WH}, | |
| journal={arXiv preprint arXiv:2408.11030}, | |
| year={2024} | |
| } | |
| ``` | |