RFMiD 2.0 Auxiliary Multi-Disease Fundus Dataset

Auxiliary RFMiD 2.0 retinal fundus dataset spanning 51 disease categories.

At a glance

Field	Value
Short name	rfmid2
Full name	RFMiD 2.0 Auxiliary Multi-Disease Fundus Dataset
First published	2023-01-05
Publication date precision	day
Publication date evidence	zenodo.org/api
Publication date source field	metadata.publication_date (earliest repository version)
Publication date reviewed	2026-09-11
Primary category	fundus
Resource role	extension_dataset
Dataset family	rfmid2
Contained modalities	fundus
Tasks	classification, multilabel
Primary reported quantity	860 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	self_service_authenticated
Route backend	Zenodo
Availability	available (checked 2026-07-21)
Acquisition support	standard_platform_supported
Legacy sample-loader status	Metadata and access only

Reported quantities

Role	Count	Unit	Scope	Basis	Evidence
Primary	860	images	RFMiD 2.0 auxiliary images	official_source_description	zenodo.org/records

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

Versioned extension of existing rfmid; retain as separate auxiliary release.

Documented relationships

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

• multieye is derived from this record: The MultiEYE paper names this record as one of the public fundus or OCT sources assembled for the benchmark. (evidence)
• x_pcr is derived from this record: Source labels in the version-pinned public X-PCR deposit identify this catalog record as upstream material. (evidence)
• This record is extension of rfmid: RFMiD 2.0 is described as an auxiliary dataset to the earlier RFMiD release, not as the same image cohort. (evidence)

Access information and download

CLI

# Read-only preflight
eyehub download rfmid2 --data-dir ./data --dry-run --json

# Download, only when preflight reports supported behavior
eyehub download rfmid2 --data-dir ./data

Python

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

ds = REGISTRY.get_dataset('rfmid2')
print(preflight_dataset(ds, './data'))  # no download

Upstream page: zenodo.org/records

Source-term evidence: zenodo.org/records

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{rfmid2,
  title  = { RFMiD 2.0 Auxiliary Multi-Disease Fundus Dataset },
  note   = { RFMiD 2.0. Zenodo, 2022. doi:10.5281/zenodo.7505822 },
  year   = { 2022 },
  url    = { https://zenodo.org/records/7505822 },
}

Plain text

RFMiD 2.0. Zenodo, 2022. doi:10.5281/zenodo.7505822

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)