GLEAM Multimodal Glaucoma Staging Dataset
SLO, circumpapillary OCT, and visual-field pattern-deviation maps with four-class glaucoma labels.
At a glance
| Field | Value |
|---|---|
| Short name | gleam |
| Full name | GLEAM Multimodal Glaucoma Staging Dataset |
| First published | Unknown |
| Publication date precision | Unknown |
| Publication date evidence | Unknown |
| Publication date source field | Unknown |
| Publication date reviewed | Unknown |
| Primary category | oct |
| Resource role | current_dataset |
| Dataset family | gleam |
| Contained modalities | oct |
| Tasks | classification, staging |
| Primary reported quantity | 3,600 images |
| Classes | Not reported (Not reported) |
| Splits | all |
| Size | Not reported |
| Source-stated terms | CC BY-NC-ND 4.0 |
| Normalized terms | cc-by-nc-nd |
| 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 | 3,600 | images | Three image modalities for each of 1,200 distinct samples in the all_samples directory The 4,320 additional JPG files under split directories repeat samples for model-development partitions and are not additional source images. | derived_from_reported_components | kaggle.com/datasets |
| Additional | 1,200 | records | Distinct tri-modal glaucoma samples Each sample contains one SLO image, one OCT thickness map, and one visual-field pattern-deviation map. | official_source_description | kaggle.com/datasets |
| Additional | 841 | participants | Source-reported patient cohort | 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
Source reports 1,200 tri-modal samples from 841 patients. Complete-deposit inspection confirmed three unique images per sample; copies under split directories are not counted again.
Access information and download
- CLI
- Python
# Read-only preflight
eyehub download gleam --data-dir ./data --dry-run --json
# Download, only when preflight reports supported behavior
eyehub download gleam --data-dir ./data
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('gleam')
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{gleam,
title = { GLEAM Multimodal Glaucoma Staging Dataset },
note = { Repository dataset record. zhangyiyinge/gleam-dataset },
url = { https://www.kaggle.com/datasets/zhangyiyinge/gleam-dataset },
}
Repository dataset record. zhangyiyinge/gleam-dataset.
Source-stated terms
- Raw source string: CC BY-NC-ND 4.0
- Normalized category:
cc-by-nc-nd - 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.
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