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
| Field | Value |
|---|---|
| Short name | mfiddr |
| Full name | MFIDDR: Multi-Field Imaging Dataset for Diabetic Retinopathy |
| Primary category | fundus |
| Contained modalities | fundus |
| Tasks | grading, classification, multilabel |
| Samples | 34,452 |
| Classes | 5 (Not reported) |
| Splits | train, test |
| Size | 30.0 GB |
| Source-stated terms | MIT (form-gated download) |
| Normalized terms | mit |
| Descriptive screening label | Standard label without an explicit NC clause; verify that it applies to data |
| Terms scope | unknown |
| Access friction | controlled_or_manual |
| Route backend | Manual (upstream-gated) |
| Availability | available (checked 2026-07-21) |
| Acquisition support | manual_access_blocked |
| Legacy sample-loader status | Metadata and access only |
Notes
Google Form gates the Drive link — no static download ID.
Access preflight and acquisition
- CLI
- Python
# 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.
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('mfiddr')
print(preflight_dataset(ds, './data')) # returns manual_access_blocked
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
- BibTeX
- Plain text
@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 },
}
MFIDDR Multi-Field Imaging Dataset for DR. 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.
Related datasets with shared modalities
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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)