Datasets:
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"@type": "sc:Dataset",
"@id": "synglass",
"name": "SynGlass",
"alternateName": [
"SynGlass: A Large-Scale Synthetic Dataset for Fine-Grained Eyeglasses Segmentation",
"Synthetic Humans with Glasses dataset"
],
"description": "SynGlass is a large-scale synthetic dataset for fine-grained eyeglasses segmentation, introduced at BMVC 2026. It contains 332,928 renders (1024x1024 PNG) of 128 photorealistic RenderPeople avatars wearing 867 distinct 3D-scanned eyeglass models, each combination rendered in Unreal Engine 5 under 3 random near-frontal head poses in an indoor living-room scene. Every render comes with pixel-accurate lens and frame segmentation masks generated directly from the 3D geometry (the masks additionally encode normalized camera-view depth in their RGBA channels) and a per-render JSON file with head pose, head/eye positions and camera parameters. Each eyeglass model is labelled with frame family (full-rim / semi-rimless / rimless), material (plastic / metal), lens shape (rectangle, square, round, oval, aviator, cat-eye, other) and lens type (clear / sunglasses); each avatar with gender, age group and ethnicity. The split is by eyeglass model: 776 models (297,984 renders) for training and 91 held-out models whose 22,304 pose-matched renders form the test set; the remaining 12,640 renders of the test models are kept in a separate test_pool split and must not be used for training. Subject and eyeglass identifiers are anonymized (subject_NNN, glasses_NNN). Each row of manifest/sessions.csv is one render; resource paths are relative to the dataset root and start with the subject folder.",
"version": "1.1.0",
"license": "https://creativecommons.org/licenses/by-nc/4.0/",
"url": "https://huggingface.co/datasets/asergiu/SynGlass",
"datePublished": "2026-05-01",
"dateModified": "2026-11-04",
"citeAs": "@inproceedings{borza2026synglass, title={SynGlass: A Large-Scale Synthetic Dataset for Fine-Grained Eyeglasses Segmentation}, author={Borza, Diana-Laura and Marinescu, Alexandru-Ion and Bota, Robert and D\\u0103r\\u0103bant, Adrian-Sergiu}, booktitle={Proceedings of the British Machine Vision Conference (BMVC)}, year={2026}}",
"keywords": [
"eyeglasses segmentation",
"lens segmentation",
"semantic segmentation",
"synthetic dataset",
"Unreal Engine 5",
"RenderPeople",
"human avatars",
"eyewear",
"boundary accuracy",
"computer vision",
"BMVC 2026"
],
"creator": [
{
"@type": "Person",
"name": "Diana-Laura Borza",
"email": "diana.borza@ubbcluj.ro",
"affiliation": {
"@type": "Organization",
"name": "Babeș-Bolyai University, Department of Computer Science",
"url": "https://www.cs.ubbcluj.ro/"
}
},
{
"@type": "Person",
"name": "Alexandru-Ion Marinescu",
"email": "alexandru.marinescu@ubbcluj.ro",
"affiliation": {
"@type": "Organization",
"name": "Babeș-Bolyai University, Department of Computer Science",
"url": "https://www.cs.ubbcluj.ro/"
}
},
{
"@type": "Person",
"name": "Robert Bota",
"email": "robertbota2201@gmail.com",
"affiliation": {
"@type": "Organization",
"name": "Babeș-Bolyai University, Department of Computer Science",
"url": "https://www.cs.ubbcluj.ro/"
}
},
{
"@type": "Person",
"name": "Adrian-Sergiu Dărăbant",
"email": "sergiu.darabant@ubbcluj.ro",
"affiliation": {
"@type": "Organization",
"name": "Babeș-Bolyai University, Department of Computer Science",
"url": "https://www.cs.ubbcluj.ro/"
}
}
],
"publisher": {
"@type": "Organization",
"name": "Babeș-Bolyai University, Department of Computer Science",
"url": "https://www.cs.ubbcluj.ro/"
},
"funder": [
{
"@type": "Organization",
"name": "Romanian Hub for Artificial Intelligence - HRIA (2021-2027, MySMIS no. 351416)"
},
{
"@type": "Organization",
"name": "Project PN-IV-P7-7.1-PTE-2024-0105, contract no. 43PTE (05/05/2025)"
}
],
"conformsTo": "http://mlcommons.org/croissant/1.1",
"inLanguage": "en",
"isLiveDataset": false,
"rai:dataCollection": "Fully synthetic generation with an automated Unreal Engine 5 pipeline. Each of the 128 RenderPeople avatars wears each of the 867 eyeglass models (3D scans of real frames with separate frame and lens sub-meshes) and is rendered from a frontal camera (horizontal FOV 15 deg) at 125-175 cm in an indoor living-room scene, under three random head poses: two with yaw/pitch/roll in [-2, 2] deg and one in [-7, 7] deg excluding [-2, 2] deg. No real person was photographed.",
"rai:dataCollectionType": [
"Synthetic data generation (Unreal Engine 5 rendering of licensed 3D scans)"
],
"rai:dataCollectionTimeframe": "2025 - 2026 (rimless-frame renders added in 2026)",
"rai:dataCollectionRawData": "Raw 1024x1024 lossless PNG renders are distributed as-is, together with the lens and frame masks rendered from the same viewpoint and the per-render JSON metadata.",
"rai:dataCollectionMissingData": "None: every render has a color image, a frame mask, a lens mask and a metadata file. Frames whose lenses are not visible do not occur because all captures are near-frontal and occlusion-free by construction.",
"rai:dataPreprocessingProtocol": [
"No filtering or cleaning was applied to the renders. The benchmark in the paper crops faces with MediaPipe (20 % enlarged box re-centred on the eyes, central crop with width = 2 x height, resized to width 448); the released images are the uncropped 1024x1024 renders.",
"The test split is a pose-matched subsample (22,304 of 34,944 renders) of the 91 held-out eyeglass models; the unselected renders are kept in the test_pool split."
],
"rai:dataAnnotationProtocol": "Segmentation masks are rendered directly from the frame and lens sub-meshes of the 3D eyeglass models, so they are pixel-accurate and free of human labelling noise. In the RGBA mask PNGs, black means background; any non-black pixel belongs to the class and its four channels encode the normalized camera-view depth. Per-eyeglass taxonomy labels (family, material, shape, lens type) were assigned manually by the authors per eyeglass model; avatar demographics come from the RenderPeople catalogue.",
"rai:dataAnnotationPlatform": [
"None (masks from the rendering engine; taxonomy labels assigned by the authors)"
],
"rai:dataAnnotationAnalysis": "Mask annotations are deterministic renders, so inter-annotator agreement does not apply. Taxonomy labels are a single expert assignment per eyeglass model (867 models).",
"rai:machineAnnotationTools": [
"Unreal Engine 5 (masks, depth encoding, metadata)"
],
"rai:annotationsPerItem": "One frame mask, one lens mask and one metadata file per render.",
"rai:annotatorDemographics": "Not applicable (no crowd annotators; taxonomy labels assigned by the authors).",
"rai:personalSensitiveInformation": [
"The dataset contains no real personal data: all faces are renders of commercially licensed RenderPeople scans and all identifiers are anonymized (subject_NNN, glasses_NNN). Avatars carry coarse gender, age-group and ethnicity labels to enable fairness analyses. Eyeglass models are 3D scans of commercial frames; product names are not released."
],
"rai:dataUseCases": [
"Training and benchmarking fine-grained eyeglasses lens/frame segmentation",
"Pre-training for real-world eyeglasses segmentation (synthetic-to-real transfer)",
"Boundary-accuracy evaluation with region-based and radial metrics (RTA, RErr)",
"Optometric measurement research (pupillary distance, fitting height, lens optical centre), frame retrieval, eyewear-aware face analysis"
],
"rai:dataLimitations": [
"Entirely synthetic: indoor lighting only; real skin textures, natural illumination and reflections under uncontrolled light are not covered.",
"Near-frontal, cooperative captures only (|yaw|, |pitch|, |roll| <= 7 deg); not suited for in-the-wild or profile views.",
"Frame families are imbalanced as in commercial catalogues: 839 full-rim, 17 rimless, 11 semi-rimless models; the test set contains 6 rimless and 1 semi-rimless model.",
"128 avatars with the demographic skew listed under dataBiases.",
"Subject identities are shared between train and test; only eyeglass models are disjoint."
],
"rai:dataBiases": [
"Avatar demographics (128): gender 73 female / 55 male; age <13: 12, 13-18: 10, 19-30: 73, 31-50: 22, 50+: 11; ethnicity White 73, Black 23, Asian 18, Indian 6, Middle Eastern 5, Hispanic/Latino 3.",
"Eyeglass models (867): full-rim 839 / rimless 17 / semi-rimless 11; plastic 726 / metal 141; rectangle 182, cat-eye 181, round 153, oval 146, square 114, other 47, aviator 44; clear lenses 669 / sunglasses 198."
],
"rai:dataSocialImpact": "Intended to improve eyewear segmentation for optometric measurement, frame retrieval and eyewear-aware face analysis. Segmentation models trained on it could be used as a component of face-recognition or surveillance pipelines; the dataset is released under CC BY-NC 4.0 and must not be used for surveillance or any application that could harm individuals.",
"rai:dataReleaseMaintenancePlan": "Hosted on Hugging Face (asergiu/SynGlass) and maintained by Prof. Adrian-Sergiu Darabant, Babes-Bolyai University (sergiu.darabant@ubbcluj.ro). Errata are documented on the dataset page; released versions stay available with version identifiers (1.0.0: initial release; 1.1.0: corrected split labels, eyeglass taxonomy and avatar demographics tables).",
"distribution": [
{
"@type": "cr:FileObject",
"@id": "sessions-csv",
"name": "sessions.csv",
"description": "Manifest with one row per render: split (train / test / test_pool), anonymized subject and eyeglass ids, capture index and the relative paths of the four resources.",
"contentUrl": "manifest/sessions.csv",
"encodingFormat": "text/csv",
"sha256": "c0f74d8fbc8d4bfefddc785a657cdacdd8dbd6353fe789bcb10c4de4de6ce660"
},
{
"@type": "cr:FileObject",
"@id": "eyeglasses-csv",
"name": "eyeglasses.csv",
"description": "One row per eyeglass model (867): split, frame family, material, lens shape and lens type.",
"contentUrl": "manifest/eyeglasses.csv",
"encodingFormat": "text/csv",
"sha256": "497f0aa4aba0bb47f0182de790603ab39aa6d2031bad5a1c034ce3dbae8a6bd0"
},
{
"@type": "cr:FileObject",
"@id": "subjects-csv",
"name": "subjects.csv",
"description": "One row per avatar (128): gender, age group and ethnicity.",
"contentUrl": "manifest/subjects.csv",
"encodingFormat": "text/csv",
"sha256": "a11d131df40ae833d99d41ec9da9aaeb1b2e1972563561aa8bb9a51c72c2e545"
},
{
"@type": "cr:FileSet",
"@id": "shards",
"name": "WebDataset TAR shards",
"description": "Renders packed as WebDataset-style TAR shards, ~4 GB each: shards/train/train-NNNNNN.tar (143 files) and shards/test/test-NNNNNN.tar (11 files). Note: the train shards physically also contain the 12,640 test_pool renders; use the split column of sessions.csv to select renders.",
"includes": "shards/*/*.tar",
"encodingFormat": "application/x-tar"
},
{
"@type": "cr:FileSet",
"@id": "png-files",
"name": "PNG images and masks",
"description": "1024x1024 colour renders (*_color.png) and RGBA frame/lens masks with depth encoding (*_mask_frame.png, *_mask_lens.png), inside the shards.",
"containedIn": {
"@id": "shards"
},
"includes": "**/*.png",
"encodingFormat": "image/png"
},
{
"@type": "cr:FileSet",
"@id": "json-files",
"name": "Per-render metadata JSON",
"description": "*_meta.json: head rotation (pitch/yaw/roll, deg), head and eye positions, camera positions/rotations, camera_fov, slider_avatar_distance (cm).",
"containedIn": {
"@id": "shards"
},
"includes": "**/*.json",
"encodingFormat": "application/json"
}
],
"recordSet": [
{
"@type": "cr:RecordSet",
"@id": "splits",
"name": "splits",
"description": "Split definitions used in sessions.csv. train: 776 eyeglass models, 297,984 renders; test: 91 held-out models, 22,304 pose-matched renders; test_pool: the remaining 12,640 renders of the 91 test models (not part of the benchmark, never to be used for training).",
"dataType": "cr:Split",
"key": {
"@id": "splits/name"
},
"field": [
{
"@type": "cr:Field",
"@id": "splits/name",
"name": "name",
"description": "Split name as stored in sessions.csv.",
"dataType": "sc:Text"
},
{
"@type": "cr:Field",
"@id": "splits/url",
"name": "url",
"description": "Croissant semantic identifier of the split.",
"dataType": [
"sc:Text",
"cr:Split"
]
}
],
"data": [
{
"splits/name": "train",
"splits/url": "cr:TrainingSplit"
},
{
"splits/name": "test",
"splits/url": "cr:TestSplit"
},
{
"splits/name": "test_pool",
"splits/url": "cr:TestSplit"
}
]
},
{
"@type": "cr:RecordSet",
"@id": "eyeglasses",
"name": "eyeglasses",
"description": "Taxonomy of the 867 eyeglass models (anonymized ids).",
"key": {
"@id": "eyeglasses/eyeglass_model_name"
},
"field": [
{
"@type": "cr:Field",
"@id": "eyeglasses/eyeglass_model_name",
"name": "eyeglass_model_name",
"description": "Anonymized eyeglass model identifier (glasses_001 ... glasses_867).",
"dataType": "sc:Text",
"source": {
"fileObject": {
"@id": "eyeglasses-csv"
},
"extract": {
"column": "eyeglass_model_name"
}
}
},
{
"@type": "cr:Field",
"@id": "eyeglasses/split",
"name": "split",
"description": "train (776 models) or test (91 models; their renders are in the test and test_pool splits).",
"dataType": "sc:Text",
"source": {
"fileObject": {
"@id": "eyeglasses-csv"
},
"extract": {
"column": "split"
}
}
},
{
"@type": "cr:Field",
"@id": "eyeglasses/family",
"name": "family",
"description": "Frame family: full-rim, semi-rimless or rimless.",
"dataType": "sc:Text",
"source": {
"fileObject": {
"@id": "eyeglasses-csv"
},
"extract": {
"column": "family"
}
}
},
{
"@type": "cr:Field",
"@id": "eyeglasses/material",
"name": "material",
"description": "Frame material: plastic or metal.",
"dataType": "sc:Text",
"source": {
"fileObject": {
"@id": "eyeglasses-csv"
},
"extract": {
"column": "material"
}
}
},
{
"@type": "cr:Field",
"@id": "eyeglasses/shape",
"name": "shape",
"description": "Lens shape: rectangle, square, round, oval, aviator, cat-eye or other.",
"dataType": "sc:Text",
"source": {
"fileObject": {
"@id": "eyeglasses-csv"
},
"extract": {
"column": "shape"
}
}
},
{
"@type": "cr:Field",
"@id": "eyeglasses/lens_type",
"name": "lens_type",
"description": "clear or sunglasses (tinted lenses).",
"dataType": "sc:Text",
"source": {
"fileObject": {
"@id": "eyeglasses-csv"
},
"extract": {
"column": "lens_type"
}
}
}
]
},
{
"@type": "cr:RecordSet",
"@id": "subjects",
"name": "subjects",
"description": "Demographic attributes of the 128 RenderPeople avatars (anonymized ids).",
"key": {
"@id": "subjects/human_subject_name"
},
"field": [
{
"@type": "cr:Field",
"@id": "subjects/human_subject_name",
"name": "human_subject_name",
"description": "Anonymized avatar identifier (subject_001 ... subject_128).",
"dataType": "sc:Text",
"source": {
"fileObject": {
"@id": "subjects-csv"
},
"extract": {
"column": "human_subject_name"
}
}
},
{
"@type": "cr:Field",
"@id": "subjects/gender",
"name": "gender",
"description": "female or male (as listed by RenderPeople).",
"dataType": "sc:Text",
"source": {
"fileObject": {
"@id": "subjects-csv"
},
"extract": {
"column": "gender"
}
}
},
{
"@type": "cr:Field",
"@id": "subjects/age_group",
"name": "age_group",
"description": "Age group: <13, 13-18, 19-30, 31-50 or 50+.",
"dataType": "sc:Text",
"source": {
"fileObject": {
"@id": "subjects-csv"
},
"extract": {
"column": "age_group"
}
}
},
{
"@type": "cr:Field",
"@id": "subjects/ethnicity",
"name": "ethnicity",
"description": "White, Black, Asian, Indian, Middle Eastern or Hispanic/Latino (as listed by RenderPeople).",
"dataType": "sc:Text",
"source": {
"fileObject": {
"@id": "subjects-csv"
},
"extract": {
"column": "ethnicity"
}
}
}
]
},
{
"@type": "cr:RecordSet",
"@id": "synglass_sessions",
"name": "synglass_sessions",
"description": "One record per render (mono capture session): a colour image, a frame mask, a lens mask and a metadata file.",
"key": {
"@id": "synglass_sessions/session_id"
},
"field": [
{
"@type": "cr:Field",
"@id": "synglass_sessions/session_id",
"name": "session_id",
"description": "Unique anonymized session identifier (= file stem).",
"dataType": "sc:Text",
"source": {
"fileObject": {
"@id": "sessions-csv"
},
"extract": {
"column": "session_id"
}
}
},
{
"@type": "cr:Field",
"@id": "synglass_sessions/split",
"name": "split",
"description": "train, test or test_pool.",
"dataType": "sc:Text",
"source": {
"fileObject": {
"@id": "sessions-csv"
},
"extract": {
"column": "split"
}
},
"references": {
"field": {
"@id": "splits/name"
}
}
},
{
"@type": "cr:Field",
"@id": "synglass_sessions/human_subject_name",
"name": "human_subject_name",
"description": "Anonymized avatar identifier; joins subjects.",
"dataType": "sc:Text",
"source": {
"fileObject": {
"@id": "sessions-csv"
},
"extract": {
"column": "human_subject_name"
}
},
"references": {
"field": {
"@id": "subjects/human_subject_name"
}
}
},
{
"@type": "cr:Field",
"@id": "synglass_sessions/eyeglass_model_name",
"name": "eyeglass_model_name",
"description": "Anonymized eyeglass model identifier; joins eyeglasses.",
"dataType": "sc:Text",
"source": {
"fileObject": {
"@id": "sessions-csv"
},
"extract": {
"column": "eyeglass_model_name"
}
},
"references": {
"field": {
"@id": "eyeglasses/eyeglass_model_name"
}
}
},
{
"@type": "cr:Field",
"@id": "synglass_sessions/capture_session_index",
"name": "capture_session_index",
"description": "Capture index 1-3 (three random head poses per avatar-eyeglass pair).",
"dataType": "sc:Integer",
"source": {
"fileObject": {
"@id": "sessions-csv"
},
"extract": {
"column": "capture_session_index"
}
}
},
{
"@type": "cr:Field",
"@id": "synglass_sessions/file_stem",
"name": "file_stem",
"description": "Common filename stem of the four resources.",
"dataType": "sc:Text",
"source": {
"fileObject": {
"@id": "sessions-csv"
},
"extract": {
"column": "file_stem"
}
}
},
{
"@type": "cr:Field",
"@id": "synglass_sessions/color",
"name": "color",
"description": "Relative path of the 1024x1024 colour render (PNG).",
"dataType": "sc:Text",
"source": {
"fileObject": {
"@id": "sessions-csv"
},
"extract": {
"column": "color"
}
}
},
{
"@type": "cr:Field",
"@id": "synglass_sessions/mask_frame",
"name": "mask_frame",
"description": "Relative path of the frame mask (RGBA PNG; black = not frame; non-black channels encode normalized depth).",
"dataType": "sc:Text",
"source": {
"fileObject": {
"@id": "sessions-csv"
},
"extract": {
"column": "mask_frame"
}
}
},
{
"@type": "cr:Field",
"@id": "synglass_sessions/mask_lens",
"name": "mask_lens",
"description": "Relative path of the lens mask (RGBA PNG; black = not lens; non-black channels encode normalized depth).",
"dataType": "sc:Text",
"source": {
"fileObject": {
"@id": "sessions-csv"
},
"extract": {
"column": "mask_lens"
}
}
},
{
"@type": "cr:Field",
"@id": "synglass_sessions/metadata",
"name": "metadata",
"description": "Relative path of the per-render JSON metadata (head pose, head/eye positions, camera parameters, avatar distance).",
"dataType": "sc:Text",
"source": {
"fileObject": {
"@id": "sessions-csv"
},
"extract": {
"column": "metadata"
}
}
}
]
}
]
}
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