GAMMA — Glaucoma Grading from Multi-Modality Images

300 paired fundus + 3D OCT volumes. Glaucoma grading into Normal / Early / Advanced plus OD/OC segmentation and fovea location.

At a glance

Field	Value
Short name	gamma
Full name	GAMMA — Glaucoma Grading from Multi-Modality Images
First published	Unknown
Publication date precision	Unknown
Publication date evidence	Unknown
Publication date source field	Unknown
Publication date reviewed	Unknown
Primary category	multimodal
Resource role	component_dataset
Dataset family	ichallenge_gamma
Contained modalities	fundus, oct
Tasks	grading, classification, segmentation
Primary reported quantity	300 volumes
Classes	3 (Normal, Early, Advanced)
Splits	train, test
Size	5.0 GB
Source-stated terms	CC BY-NC-ND
Normalized terms	cc-by-nc-nd
Descriptive screening label	Explicit noncommercial clause recorded; check source
Terms scope	dataset_files
Access friction	anonymous_direct
Route backend	Google Drive
Availability	available (checked 2026-07-21)
Acquisition support	loader_implemented_not_live_tested
Legacy sample-loader status	Standard loader included

Reported quantities

Role	Count	Unit	Scope	Basis	Evidence
Primary	300	volumes	Primary quantity reported in the reviewed catalog source	legacy_catalog_field	drive.google.com/file

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.

Dataset family

This record belongs to ichallenge_gamma. Family links group documented collection/component records or exact task views; they do not imply independent cohorts.

• ichallenge_oct: iChallenge OCT Datasets (HDMILab / OMIA Workshops) (collection)

Documented relationships

These links record source-supported lineage or overlap, not merely similar modality tags.

• mm_retinal_reason is derived from this record: The version-pinned official dataset card lists this record among the CFP or OCT sources used to construct MM-Retinal-Reason. (evidence)
• ichallenge_oct is has component this record: The cataloged iChallenge OCT portal record explicitly includes the GAMMA multimodal challenge resource. (evidence)
• This record is component of ichallenge_oct: GAMMA is one of the named resources exposed through the cataloged iChallenge OCT portal record. (evidence)

Access information and download

CLI

# Read-only preflight
eyehub download gamma --data-dir ./data --dry-run --json

# Download, only when preflight reports supported behavior
eyehub download gamma --data-dir ./data

Python

from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY

ds = REGISTRY.get_dataset('gamma')
print(preflight_dataset(ds, './data'))  # no download

Upstream page: drive.google.com/file

Source-term evidence: drive.google.com/file

Loader example

This entry includes a standard DatasetSample loader.

from pathlib import Path
from eyedatahub.datasets.registry import REGISTRY

data_dir = Path('~/.eyedatahub/data').expanduser()
ds = REGISTRY.get_dataset('gamma')
samples = ds.load(data_dir, split='test')
for s in samples[:5]:
    print(s.sample_id, s.label, s.image_path)

Citation

BibTeX

@misc{gamma,
  title  = { GAMMA — Glaucoma Grading from Multi-Modality Images },
  note   = { Wu J. et al., 'GAMMA Challenge: Glaucoma Grading from Multi-Modality Imaging', MIA 2023 },
  year   = { 2023 },
  url    = { https://drive.google.com/file/d/1thJDE1_TR-xa8f3H-0PwPpDxun7rV8Sw/view },
}

Plain text

Wu J. et al., 'GAMMA Challenge: Glaucoma Grading from Multi-Modality Imaging', MIA 2023.

Source-stated terms

• Raw source string: CC BY-NC-ND
• 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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