IDRiD: Indian Diabetic Retinopathy Image Dataset

516 fundus images with DR grade (0-4), macular edema grade (0-2), and pixel-level lesion segmentation for 81 images.

At a glance

Field	Value
Short name	idrid
Full name	IDRiD: Indian Diabetic Retinopathy Image Dataset
Publication date	2018-01-20
Date basis	Initial dataset release
Publication date precision	day
Publication date evidence	idrid.grand-challenge.org/Dates
Publication date source field	Official IDRiD challenge Important Dates: Training Data Release (Images + Groundtruth)
Publication date reviewed	2026-09-11
Date notes	The official IDRiD challenge page dates the training data release to January 20, 2018; this predates the later IEEE DataPort deposit and directly supports initial public availability.
Primary category	fundus
Resource role	current_dataset
Dataset family	idrid
Contained modalities	fundus
Tasks	grading, classification, segmentation
Primary reported quantity	516 images
Classes	5 (Grade 0, Grade 1, Grade 2, Grade 3, Grade 4)
Splits	train, test
Size	2.5 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	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	516	images	Primary quantity reported in the reviewed catalog source	legacy_catalog_field	ieee-dataport.org/open-access

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 IEEE DataPort account (free).

Documented relationships

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

• dme_vqa is derived from this record: The DME VQA deposit identifies IDRiD images as source material. (evidence)
• lmod_plus is derived from this record: The LMOD+ project page lists nine component datasets, including the five cataloged targets represented by these edges. (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)
• reta_benchmark is derived from this record: RETA reuses 81 images from the first IDRiD subset and adds vascular-tree annotations. (evidence)

Access information and download

CLI

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

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

Python

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

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

Upstream page: ieee-dataport.org/open-access

Source-term evidence: ieee-dataport.org/open-access

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

Citation

BibTeX

@misc{idrid,
  title  = { IDRiD: Indian Diabetic Retinopathy Image Dataset },
  note   = { Porwal et al., 'Indian diabetic retinopathy image dataset (IDRiD): A database for diabetic retinopathy screening research', Data 2018 },
  year   = { 2018 },
  url    = { https://ieee-dataport.org/open-access/indian-diabetic-retinopathy-image-dataset-idrid },
}

Plain text

Porwal et al., 'Indian diabetic retinopathy image dataset (IDRiD): A database for diabetic retinopathy screening research', Data 2018.

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)