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{ |
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"@context": { |
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"@language": "en", |
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"@vocab": "https://schema.org/", |
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"citeAs": "cr:citeAs", |
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"column": "cr:column", |
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"conformsTo": "dct:conformsTo", |
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"cr": "http://mlcommons.org/croissant/", |
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"rai": "http://mlcommons.org/croissant/RAI/", |
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"data": { |
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"@id": "cr:data", |
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"@type": "@json" |
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}, |
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"dataType": { |
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"@id": "cr:dataType", |
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"@type": "@vocab" |
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}, |
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"dct": "http://purl.org/dc/terms/", |
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"examples": { |
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"@id": "cr:examples", |
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"@type": "@json" |
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}, |
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"extract": "cr:extract", |
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"field": "cr:field", |
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"fileProperty": "cr:fileProperty", |
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"fileObject": "cr:fileObject", |
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"fileSet": "cr:fileSet", |
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"format": "cr:format", |
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"includes": "cr:includes", |
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"isLiveDataset": "cr:isLiveDataset", |
|
"jsonPath": "cr:jsonPath", |
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"key": "cr:key", |
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"md5": "cr:md5", |
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"parentField": "cr:parentField", |
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"path": "cr:path", |
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"recordSet": "cr:recordSet", |
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"references": "cr:references", |
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"regex": "cr:regex", |
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"repeated": "cr:repeated", |
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"replace": "cr:replace", |
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"sc": "https://schema.org/", |
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"separator": "cr:separator", |
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"source": "cr:source", |
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"subField": "cr:subField", |
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"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", |
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"@id": "repo", |
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"name": "repo", |
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"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" |
|
}, |
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"encodingFormat": "application/zip", |
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"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" |
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} |
|
], |
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"recordSet": [] |
|
} |
|
|