Skip to main content

FIRE: Fundus Image Registration Dataset

129 fundus images from 39 patients forming 134 registration pairs with anatomical ground-truth control points. Only public registration benchmark for ophthalmology.

At a glance

FieldValue
Short namefire
Full nameFIRE: Fundus Image Registration Dataset
Primary categoryfundus
Contained modalitiesfundus
Tasksregression
Samples129
ClassesNot reported (Not reported)
Splitsall
Size1.0 GB
Source-stated termsResearch only (FORTH CVRL)
Normalized termsresearch-only
Descriptive screening labelResearch or challenge restriction recorded; check source
Terms scopedataset_files
Access frictionanonymous_direct
Route backendDirect HTTP
Availabilityavailable (checked 2026-07-21)
Acquisition supportloader_implemented_not_live_tested
Legacy sample-loader statusMetadata and access only

Notes

FORTH host serves an expired SSL cert as of 2026-07. Set REQUESTS_CA_BUNDLE=/path/to/bundle or PYTHONHTTPSVERIFY=0. Distributed as 7z — extract with 7-Zip / 7z x FIRE.7z.

Access preflight and acquisition

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

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

Upstream page: projects.ics.forth.gr/cvrl

Source-term evidence: projects.ics.forth.gr/cvrl

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

@misc{fire,
title = { FIRE: Fundus Image Registration Dataset },
note = { Hernandez-Matas et al., 'FIRE: Fundus Image Registration Dataset', Journal of Modeling in Ophthalmology 2017 },
year = { 2017 },
url = { https://projects.ics.forth.gr/cvrl/fire/ },
}

Source-stated terms

  • Raw source string: Research only (FORTH CVRL)
  • 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.

  • 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)