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
| Field | Value |
|---|---|
| Short name | fire |
| Full name | FIRE: Fundus Image Registration Dataset |
| Primary category | fundus |
| Contained modalities | fundus |
| Tasks | regression |
| Samples | 129 |
| Classes | Not reported (Not reported) |
| Splits | all |
| Size | 1.0 GB |
| Source-stated terms | Research only (FORTH CVRL) |
| 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
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
- CLI
- Python
# 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
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('fire')
print(preflight_dataset(ds, './data')) # no transfer
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
- BibTeX
- Plain text
@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/ },
}
Hernandez-Matas et al., 'FIRE: Fundus Image Registration Dataset', Journal of Modeling in Ophthalmology 2017.
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.
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)