ScanNet is an instance-level indoor RGB-D dataset that includes both 2D and 3D data. It is a collection of labeled voxels rather than points or objects. Up to now, ScanNet v2, the newest version of ScanNet, has collected 1513 annotated scans with an approximate 90% surface coverage. In the semantic segmentation task, this dataset is marked in 20 classes of annotated 3D voxelized objects.
yuchen0187/scannet dataset hosted on Hugging Face and contributed by the HF Datasets community
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Quantitative result with multi-view RGB inputs is evaluated on the val-set of ScanNet-V2.
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
Multi3DRefer Dataset
This repository contains the Multi3DRefer dataset, introduced in Multi3DRefer: Grounding Text Description to Multiple 3D Objects.
Dataset Attributes
scene_id: (str) the scene identifier as defined in ScanNetv2. object_name: (str) the name of the target object(s). ann_id: (int) the local annotation ID within a scene. description: (str) the language description of the target object(s) in the scene. object_ids: (List[int]) the target object ID(s) as… See the full description on the dataset page: https://huggingface.co/datasets/3dlg-hcvc/Multi3DRefer.
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ScanNet is an instance-level indoor RGB-D dataset that includes both 2D and 3D data. It is a collection of labeled voxels rather than points or objects. Up to now, ScanNet v2, the newest version of ScanNet, has collected 1513 annotated scans with an approximate 90% surface coverage. In the semantic segmentation task, this dataset is marked in 20 classes of annotated 3D voxelized objects.