| | { |
| | "@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" |
| | }, |
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| | "@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": [ |
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| | "@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", |
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| | "name": "ply-files", |
| | "description": "The colored mesh files.", |
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| | "@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": [] |
| | } |
| |
|
