Datasets:
Download metadata.json from labelmaker/arkit_labelmaker: direct link, hf CLI and curl.
- Browser
- Download file 3.45 kB
-
https://huggingface.co/datasets/labelmaker/arkit_labelmaker/resolve/4c09eaa4e7ddf4e28d96ffdddd2860f8cc03341d/metadata.json
- Command line
-
hf download hf://datasets/labelmaker/arkit_labelmaker@4c09eaa4e7ddf4e28d96ffdddd2860f8cc03341d/metadata.json
-
curl -L -o metadata.json https://huggingface.co/datasets/labelmaker/arkit_labelmaker/resolve/4c09eaa4e7ddf4e28d96ffdddd2860f8cc03341d/metadata.json
3.45 kB
| { | |
| "@context": { | |
| "@language": "en", | |
| "@vocab": "https://schema.org/", | |
| "citeAs": "cr:citeAs", | |
| "column": "cr:column", | |
| "conformsTo": "dct:conformsTo", | |
| "cr": "http://mlcommons.org/croissant/", | |
| "rai": "http://mlcommons.org/croissant/RAI/", | |
| "data": { | |
| "@id": "cr:data", | |
| "@type": "@json" | |
| }, | |
| "dataType": { | |
| "@id": "cr:dataType", | |
| "@type": "@vocab" | |
| }, | |
| "dct": "http://purl.org/dc/terms/", | |
| "examples": { | |
| "@id": "cr:examples", | |
| "@type": "@json" | |
| }, | |
| "extract": "cr:extract", | |
| "field": "cr:field", | |
| "fileProperty": "cr:fileProperty", | |
| "fileObject": "cr:fileObject", | |
| "fileSet": "cr:fileSet", | |
| "format": "cr:format", | |
| "includes": "cr:includes", | |
| "isLiveDataset": "cr:isLiveDataset", | |
| "jsonPath": "cr:jsonPath", | |
| "key": "cr:key", | |
| "md5": "cr:md5", | |
| "parentField": "cr:parentField", | |
| "path": "cr:path", | |
| "recordSet": "cr:recordSet", | |
| "references": "cr:references", | |
| "regex": "cr:regex", | |
| "repeated": "cr:repeated", | |
| "replace": "cr:replace", | |
| "sc": "https://schema.org/", | |
| "separator": "cr:separator", | |
| "source": "cr:source", | |
| "subField": "cr:subField", | |
| "transform": "cr:transform", | |
| "wd": "https://www.wikidata.org/wiki/" | |
| }, | |
| "@type": "sc:Dataset", | |
| "name": "ARKit_LabelMaker", | |
| "description": "ARKit LabelMaker is a 3D indoor scene dataset with dense semantic segmentation. The segmentation label is obtained by LabelMaker, an automated annotation pipeline for RGB-D inputs. It is currently the largest real-world indoor semantic segmentation dataset.", | |
| "conformsTo": "http://mlcommons.org/croissant/1.0", | |
| "citeAs": "@inproceedings{Weder2024labelmaker,\n title = {{LabelMaker: Automatic Semantic Label Generation from RGB-D Trajectories}},\n author={Weder, Silvan and Blum, Hermann and Engelmann, Francis and Pollefeys, Marc},\n booktitle = {International Conference on 3D Vision (3DV)},\n year = {2024}\n}", | |
| "license": "bsd-3-clause-clear", | |
| "url": "https://labelmaker.org/", | |
| "version": "1.0.0", | |
| "distribution": [ | |
| { | |
| "@type": "cr:FileObject", | |
| "@id": "repo", | |
| "name": "repo", | |
| "description": "The Hugging Face git repository.", | |
| "contentUrl": "https://huggingface.co/datasets/labelmaker/arkit_labelmaker/tree/main", | |
| "encodingFormat": "git+https", | |
| "sha256": "https://github.com/mlcommons/croissant/issues/80" | |
| }, | |
| { | |
| "@type": "cr:FileSet", | |
| "@id": "ply-files", | |
| "name": "ply-files", | |
| "description": "The colored mesh files.", | |
| "containedIn": { | |
| "@id": "repo" | |
| }, | |
| "encodingFormat": "application/zip", | |
| "includes": "*/*/point_lifted_mesh.ply" | |
| }, | |
| { | |
| "@type": "cr:FileSet", | |
| "@id": "label-files", | |
| "name": "label-files", | |
| "description": "The semantic label of in wordnet label space for each vertices of the ply mesh.", | |
| "containedIn": { | |
| "@id": "repo" | |
| }, | |
| "encodingFormat": "text/plain", | |
| "includes": "*/*/labels.txt" | |
| } | |
| ], | |
| "recordSet": [] | |
| } | |