DRIONS-DB: Digital Retinal Images for Optic Nerve Segmentation

110 color fundus images with optic-disc contour annotations by two experts. Foundational OD-segmentation dataset.

At a glance

Field	Value
Short name	drions_db
Full name	DRIONS-DB: Digital Retinal Images for Optic Nerve Segmentation
Primary category	fundus
Contained modalities	fundus
Tasks	segmentation
Samples	110
Classes	2 (background, optic_disc)
Splits	all
Size	0.2 GB
Source-stated terms	Research only (UNED public release)
Normalized terms	research-only
Descriptive screening label	Research or challenge restriction recorded; check source
Terms scope	dataset_files
Access friction	anonymous_direct
Route backend	Direct HTTP
Availability	available (checked 2026-07-21)
Acquisition support	loader_implemented_not_live_tested
Legacy sample-loader status	Metadata and access only

Notes

UNED host serves an expired SSL certificate as of 2026-07. EyeDataHub falls back to an unverified HTTPS request; set PYTHONHTTPSVERIFY=0 in your environment if requests still fails cert validation. Distributed as .rar — needs unrar (Linux: apt install unrar; macOS: brew install rar; Windows: 7-Zip).

Access preflight and acquisition

CLI

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

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

Python

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

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

Upstream page: ia.uned.es/~ejcarmona

Source-term evidence: ia.uned.es/~ejcarmona

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

@misc{drions_db,
  title  = { DRIONS-DB: Digital Retinal Images for Optic Nerve Segmentation },
  note   = { Carmona et al., 'Identification of the Optic Nerve Head with Genetic Algorithms', Artificial Intelligence in Medicine 2008 },
  year   = { 2008 },
  url    = { https://www.ia.uned.es/~ejcarmona/DRIONS-DB.html },
}

Plain text

Carmona et al., 'Identification of the Optic Nerve Head with Genetic Algorithms', Artificial Intelligence in Medicine 2008.

Source-stated terms

• Raw source string: Research only (UNED public release)
• Normalized category: research-only
• Apparent scope: dataset_files
• Descriptive screening label: Research or challenge restriction 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.

Related datasets with shared modalities

• airogs: AIROGS: AI for Robust Glaucoma Screening (113,893 records, cc-by-nc-nd)
• eyecare_100k: Eyecare-100K: Multimodal Ophthalmology VQA Corpus (102,000 records, unknown)
• justraigs: JustRAIGS: Just Referral AI Glaucoma Screening Dataset (101,442 records, cc-by-nc-nd)
• eyepacs: EyePACS — Diabetic Retinopathy Detection (Kaggle 2015) (88,702 records, research-only)
• multieye: MultiEYE: OCT-Enhanced Fundus Multi-Disease Benchmark (58,036 records, mit)
• angioreport: AngioReport Fundus Angiography Report Dataset (55,361 records, unknown)
• ffa_ir: FFA-IR Medical Report Dataset (47,247 records, unknown)
• bidr: BiDR: Diabetic Retinopathy Diagnosis Dataset (35,126 records, unknown)