HRF: High-Resolution Fundus Image Database

45 high-resolution fundus images (healthy/DR/glaucoma) with manual vessel segmentation.

At a glance

Field	Value
Short name	hrf
Full name	HRF: High-Resolution Fundus Image Database
First published	Unknown
Publication date precision	Unknown
Publication date evidence	Unknown
Publication date source field	Unknown
Publication date reviewed	Unknown
Primary category	fundus
Resource role	current_dataset
Dataset family	hrf
Contained modalities	fundus
Tasks	segmentation
Primary reported quantity	45 images
Classes	Not reported (Not reported)
Splits	all
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	Manual (upstream-gated)
Availability	available (checked 2026-07-21)
Acquisition support	guided_instructions_only
Legacy sample-loader status	Standard loader included

Reported quantities

Role	Count	Unit	Scope	Basis	Evidence
Primary	45	images	Primary quantity reported in the reviewed catalog source	legacy_catalog_field	www5.cs.fau.de/research

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.

Notes

Requires manual download from FAU Erlangen-Nuremberg website.

Documented relationships

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

• amdnet23 is derived from this record: AMDNet23 compiles preprocessed images from ODIR, RFMiD, HRF, ARIA, DR_200, and Fundus Dataset. (evidence)
• higancnn_generated_glaucoma is derived from this record: The official dataset description names ACRIMA, DRISHTI-GS, and HRF among the human fundus sources used to construct the synthetic glaucoma resource. (evidence)
• hrf_seg_plus is derived from this record: HRF-Seg+ adds multi-structure annotations to the 45 HRF images. (evidence)
• 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)
• smdg is derived from this record: The official SMDG source table lists this catalog record among the 19 standardized source domains. (evidence)

Access information and download

CLI

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

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

Python

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

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

Upstream page: www5.cs.fau.de/research

Source-term evidence: www5.cs.fau.de/research

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

Citation

BibTeX

@misc{hrf,
  title  = { HRF: High-Resolution Fundus Image Database },
  note   = { Budai et al., 'Robust vessel segmentation in fundus images', Intl Journal of Biomedical Imaging 2013 },
  year   = { 2013 },
  url    = { https://www5.cs.fau.de/research/data/fundus-images/ },
}

Plain text

Budai et al., 'Robust vessel segmentation in fundus images', Intl Journal of Biomedical Imaging 2013.

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.

Similar resources by shared modality

• airogs: AIROGS: AI for Robust Glaucoma Screening (113,893 images, cc-by-nc-nd)
• multieye: MultiEYE: OCT-Enhanced Fundus Multi-Disease Benchmark (103,959 images, mit)
• eyecare_100k: Eyecare-100K: Multimodal Ophthalmology VQA Corpus (102,000 question answer pairs, unknown)
• justraigs: JustRAIGS: Just Referral AI Glaucoma Screening Dataset (101,442 images, cc-by-nc-nd)
• eyepacs: EyePACS — Diabetic Retinopathy Detection (Kaggle 2015) (88,702 images, research-only)
• angioreport: AngioReport Fundus Angiography Report Dataset (55,361 images, unknown)
• ffa_ir: FFA-IR Medical Report Dataset (47,247 images, unknown)
• mfiddr: MFIDDR: Multi-Field Imaging Dataset for Diabetic Retinopathy (34,452 images, mit)