Skip to main content

MFIDDR: Multi-Field Imaging Dataset for Diabetic Retinopathy

34,452 fundus images from 4,344 patients across multiple fields per eye, with DR screening labels. Largest public four-field DR dataset.

At a glance

FieldValue
Short namemfiddr
Full nameMFIDDR: Multi-Field Imaging Dataset for Diabetic Retinopathy
Primary categoryfundus
Contained modalitiesfundus
Tasksgrading, classification, multilabel
Samples34,452
Classes5 (Not reported)
Splitstrain, test
Size30.0 GB
Source-stated termsMIT (form-gated download)
Normalized termsmit
Descriptive screening labelStandard label without an explicit NC clause; verify that it applies to data
Terms scopeunknown
Access frictioncontrolled_or_manual
Route backendManual (upstream-gated)
Availabilityavailable (checked 2026-07-21)
Acquisition supportmanual_access_blocked
Legacy sample-loader statusMetadata and access only

Notes

Google Form gates the Drive link — no static download ID.

Access preflight and acquisition

# This route requires upstream human action; no transfer starts.
eyehub download mfiddr --data-dir ./data --dry-run --json
# Follow the official instructions shown by preflight.

Upstream page: github.com/mfiddr

Source-term evidence: github.com/mfiddr

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{mfiddr,
title = { MFIDDR: Multi-Field Imaging Dataset for Diabetic Retinopathy },
note = { MFIDDR Multi-Field Imaging Dataset for DR. github.com/mfiddr/MFIDDR },
url = { https://github.com/mfiddr/MFIDDR },
}

Source-stated terms

  • Raw source string: MIT (form-gated download)
  • Normalized category: mit
  • Apparent scope: unknown
  • Descriptive screening label: Standard label without an explicit NC clause; verify that it applies to data

⚠️ 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)