ACRIMA: Glaucoma Optic Disc Fundus Database

705 optic disc-centred fundus photographs (396 normal + 309 glaucoma) from Hospital Clinico San Carlos. Expert-annotated binary glaucoma classification.

At a glance

Field	Value
Short name	acrima
Full name	ACRIMA: Glaucoma Optic Disc Fundus Database
Primary category	fundus
Contained modalities	fundus
Tasks	classification
Samples	705
Classes	2 (Normal, Glaucoma)
Splits	train
Size	0.5 GB
Source-stated terms	CC BY 4.0
Normalized terms	cc-by
Descriptive screening label	Standard label without an explicit NC clause; not a permission finding
Terms scope	dataset_files
Access friction	anonymous_direct
Route backend	Figshare
Availability	available (checked 2026-07-21)
Acquisition support	guided_instructions_only
Legacy sample-loader status	Standard loader included

Access preflight and acquisition

CLI

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

# Explicit transfer, only when preflight reports supported behavior
eyehub download acrima --data-dir ./data

Python

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

ds = REGISTRY.get_dataset('acrima')
print(preflight_dataset(ds, './data'))  # no transfer

Upstream page: Figshare private-share page

Source-term evidence: Figshare private-share page

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('acrima')
samples = ds.load(data_dir, split='train')
for s in samples[:5]:
    print(s.sample_id, s.label, s.image_path)

Citation

BibTeX

@misc{acrima,
  title  = { ACRIMA: Glaucoma Optic Disc Fundus Database },
  note   = { Diaz-Pinto et al., 'Retinal Image Synthesis and Semi-Supervised Learning for Glaucoma Assessment', IEEE TMI 2019. Data: https://figshare.com/s/c2d31f850af14c5b5232 },
  year   = { 2019 },
  url    = { https://figshare.com/s/c2d31f850af14c5b5232 },
}

Plain text

Diaz-Pinto et al., 'Retinal Image Synthesis and Semi-Supervised Learning for Glaucoma Assessment', IEEE TMI 2019. Data: https://figshare.com/s/c2d31f850af14c5b5232

Source-stated terms

• Raw source string: CC BY 4.0
• Normalized category: cc-by
• Apparent scope: dataset_files
• Descriptive screening label: Standard label without an explicit NC clause; not a permission finding

⚠️ 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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