asergiu commited on
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e35a8df
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1 Parent(s): 3ae87bd

Update metadata.json

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Filled missing fields...

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  1. metadata.json +14 -23
metadata.json CHANGED
@@ -11,9 +11,9 @@
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  "name": "SynGlass: Synthetic Eyeglasses Segmentation Dataset",
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  "description": "Synthetic dataset for fine-grained eyeglasses segmentation. Each mono capture session contains a 1024x1024 color image, a frame segmentation mask, a lens segmentation mask, and a per-session metadata JSON file. The masks are lossless RGBA PNG files where black pixels indicate background/non-category pixels and non-black pixels encode normalized camera-view depth across RGBA channels.",
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  "version": "1.0.0",
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- "license": "REPLACE_WITH_LICENSE",
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- "url": "REPLACE_WITH_DATASET_URL",
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- "sameAs": "REPLACE_WITH_REPOSITORY_URL",
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  "keywords": [
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  "segmentation",
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  "synthetic data",
@@ -26,17 +26,10 @@
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  "creator": [
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  {
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  "@type": "Organization",
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- "name": "REPLACE_WITH_ORGANIZATION"
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  }
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  ],
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  "distribution": [
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- {
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- "@type": "cr:FileObject",
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- "@id": "dataset-root",
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- "name": "dataset-root",
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- "contentUrl": "./",
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- "encodingFormat": "application/x-directory"
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- },
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  {
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  "@type": "cr:FileObject",
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  "@id": "sessions-csv",
@@ -44,32 +37,27 @@
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  "description": "One row per mono capture session. Paths are relative to the dataset root after trimming ue5sim_renderpeople_mono_glasses_frames_v2_cropped.",
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  "contentUrl": "manifest/sessions.csv",
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  "encodingFormat": "text/csv",
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- "containedIn": {
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- "@id": "dataset-root"
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- }
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  },
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  {
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  "@type": "cr:FileSet",
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  "@id": "png-files",
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  "name": "PNG images and masks",
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  "description": "Color images and segmentation masks for frames and lenses.",
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- "containedIn": {
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- "@id": "dataset-root"
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- },
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- "includes": "**/*.png"
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  },
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  {
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  "@type": "cr:FileSet",
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  "@id": "json-files",
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  "name": "Metadata JSON files",
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  "description": "Per-session metadata files containing auxiliary capture parameters.",
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- "containedIn": {
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- "@id": "dataset-root"
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- },
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- "includes": "**/*.json"
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  }
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  ],
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  "dct:conformsTo": "http://mlcommons.org/croissant/1.1",
 
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  "recordSet": [
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  {
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  "@type": "cr:RecordSet",
@@ -232,5 +220,8 @@
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  }
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  ]
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  }
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- ]
 
 
 
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  }
 
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  "name": "SynGlass: Synthetic Eyeglasses Segmentation Dataset",
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  "description": "Synthetic dataset for fine-grained eyeglasses segmentation. Each mono capture session contains a 1024x1024 color image, a frame segmentation mask, a lens segmentation mask, and a per-session metadata JSON file. The masks are lossless RGBA PNG files where black pixels indicate background/non-category pixels and non-black pixels encode normalized camera-view depth across RGBA channels.",
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  "version": "1.0.0",
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+ "license": "https://creativecommons.org/licenses/by-nc/4.0/",
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+ "url": "https://huggingface.co/datasets/asergiu/SynGlass",
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+ "sameAs": "https://gitlab.com/tvarita/HumanStereoNeurIPS2026",
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  "keywords": [
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  "segmentation",
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  "synthetic data",
 
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  "creator": [
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  {
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  "@type": "Organization",
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+ "name": "TVARITA Research"
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  }
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  ],
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  "distribution": [
 
 
 
 
 
 
 
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  {
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  "@type": "cr:FileObject",
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  "@id": "sessions-csv",
 
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  "description": "One row per mono capture session. Paths are relative to the dataset root after trimming ue5sim_renderpeople_mono_glasses_frames_v2_cropped.",
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  "contentUrl": "manifest/sessions.csv",
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  "encodingFormat": "text/csv",
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+ "sha256": "b74b51f37f283edd5118f9ee70ba75e95ab2032ade7f23596b45554f28437c92"
 
 
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  },
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  {
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  "@type": "cr:FileSet",
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  "@id": "png-files",
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  "name": "PNG images and masks",
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  "description": "Color images and segmentation masks for frames and lenses.",
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+ "cr:includes": "**/*.png",
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+ "encodingFormat": "image/png"
 
 
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  },
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  {
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  "@type": "cr:FileSet",
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  "@id": "json-files",
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  "name": "Metadata JSON files",
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  "description": "Per-session metadata files containing auxiliary capture parameters.",
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+ "cr:includes": "**/*.json",
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+ "encodingFormat": "application/json"
 
 
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  }
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  ],
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  "dct:conformsTo": "http://mlcommons.org/croissant/1.1",
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+
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  "recordSet": [
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  {
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  "@type": "cr:RecordSet",
 
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  }
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  ]
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  }
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+ ],
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+
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+ "datePublished": "2026-05-01",
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+ "citeAs": "SynGlass: Synthetic Eyeglasses Segmentation Dataset. TVARITA Research, 2026."
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  }