Brazil Glaucoma (BrG) Dataset
Portable/smartphone fundus photographs of Brazilian glaucoma and non-glaucoma volunteers.
At a glance
| Field | Value |
|---|---|
| Short name | brasil_glaucoma_brg |
| Full name | Brazil Glaucoma (BrG) Dataset |
| Publication date | 2022-11-22 |
| Date basis | Associated publication |
| Publication date precision | day |
| Publication date evidence | api.crossref.org/works |
| Publication date source field | published-online; abstract identifies Brazil Glaucoma as a new public dataset |
| Publication date reviewed | 2026-09-11 |
| Date notes | Date from the Healthcare article introducing Brazil Glaucoma. Its data availability statement points to globaleyeh.com. |
| Primary category | fundus |
| Resource role | current_dataset |
| Dataset family | brasil_glaucoma_brg |
| Contained modalities | fundus |
| Tasks | classification |
| Primary reported quantity | 2,000 images |
| Classes | Not reported (Not reported) |
| Splits | all |
| Size | Not reported |
| Source-stated terms | CC BY-NC 4.0 |
| Normalized terms | cc-by-nc |
| Descriptive screening label | Explicit noncommercial clause recorded; check source |
| Terms scope | dataset_files |
| Access friction | self_service_authenticated |
| Route backend | Kaggle |
| Availability | available (checked 2026-08-02) |
| Acquisition support | standard_platform_supported |
| Legacy sample-loader status | Metadata and access only |
Reported quantities
| Role | Count | Unit | Scope | Basis | Evidence |
|---|---|---|---|---|---|
| Primary | 2,000 | images | Source article reports 2,000 fundus images from 1,000 volunteers. Source-stated quantity; repository file count is separate. | official_source_description | kaggle.com/datasets |
Counts retain their source-reported units. Additional rows can describe components, paired items, or derivative copies and are not automatically added to the primary quantity.
Notes
Kaggle description gives a conflicting image count; the source article quantity is retained.
Access information and download
- CLI
- Python
# Read-only preflight
eyehub download brasil_glaucoma_brg --data-dir ./data --dry-run --json
# Download, only when preflight reports supported behavior
eyehub download brasil_glaucoma_brg --data-dir ./data
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('brasil_glaucoma_brg')
print(preflight_dataset(ds, './data')) # no download
Upstream page: kaggle.com/datasets
Source-term evidence: kaggle.com/datasets
Loader status
This catalog record provides metadata and access instructions, but it does not yet include a standard DatasetSample loader. Inspect the source file structure or contribute a loader before using it in a training pipeline.
Citation
- BibTeX
- Plain text
@misc{brasil_glaucoma_brg,
title = { Brazil Glaucoma (BrG) Dataset },
note = { Repository dataset record. clerimar/brasil-glaucoma-brg },
url = { https://www.kaggle.com/datasets/clerimar/brasil-glaucoma-brg },
}
Repository dataset record. clerimar/brasil-glaucoma-brg.
Source-stated terms
- Raw source string: CC BY-NC 4.0
- Normalized category:
cc-by-nc - Apparent scope:
dataset_files - Descriptive screening label: Explicit noncommercial clause recorded; check source
⚠️ Source-stated terms, scope, and normalized labels are curation metadata, not legal advice or a permission finding. Review the current official source before transfer or reuse.
Similar resources by shared modality
- airogs: AIROGS: AI for Robust Glaucoma Screening (113,893 images,
cc-by-nc-nd) - multieye: MultiEYE: OCT-Enhanced Fundus Multi-Disease Benchmark (103,959 images,
mit) - eyecare_100k: Eyecare-100K: Multimodal Ophthalmology VQA Corpus (102,000 question answer pairs,
unknown) - justraigs: JustRAIGS: Just Referral AI Glaucoma Screening Dataset (101,442 images,
cc-by-nc-nd) - eyepacs: EyePACS — Diabetic Retinopathy Detection (Kaggle 2015) (88,702 images,
research-only) - angioreport: AngioReport Fundus Angiography Report Dataset (55,361 images,
unknown) - ffa_ir: FFA-IR Medical Report Dataset (47,247 images,
unknown) - mfiddr: MFIDDR: Multi-Field Imaging Dataset for Diabetic Retinopathy (34,452 images,
mit)