VietAI Retinal Disease Detection 2020

A multilabel fundus classification challenge with 3,435 labeled training images and 350 test images covering six disease groups and normal findings.

At a glance

Field	Value
Short name	vietai_retinal_disease
Full name	VietAI Retinal Disease Detection 2020
First published	2020-09-06
Publication date precision	day
Publication date evidence	kaggle.com/c
Publication date source field	Kaggle competition Overview: Start
Publication date reviewed	2026-09-11
Primary category	fundus
Resource role	current_dataset
Dataset family	vietai_retinal_disease
Contained modalities	fundus
Tasks	multilabel, classification
Primary reported quantity	3,785 images
Classes	7 (opacity, diabetic_retinopathy, glaucoma, macular_edema, macular_degeneration, retinal_vein_occlusion, normal)
Splits	train, test
Size	Not reported
Source-stated terms	Kaggle competition rules
Normalized terms	unknown
Descriptive screening label	Unknown or unclear; do not assume permission
Terms scope	challenge_participation
Access friction	self_service_clickthrough
Route backend	Kaggle
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	3,785	images	Primary quantity reported in the reviewed catalog source	legacy_catalog_field	kaggle.com/competitions

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

Kaggle authentication and acceptance of the competition rules may be required. Derivative archives that mix these images with unverified sources were excluded from the registry.

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)

Access information and download

CLI

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

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

Python

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

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

Upstream page: kaggle.com/competitions

Source-term evidence: kaggle.com/competitions

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{vietai_retinal_disease,
  title  = { VietAI Retinal Disease Detection 2020 },
  note   = { VietAI Advance Course Retinal Disease Detection. Kaggle. 2020 },
  year   = { 2020 },
  url    = { https://www.kaggle.com/competitions/vietai-advance-retinal-disease-detection-2020/data },
}

Plain text

VietAI Advance Course Retinal Disease Detection. Kaggle. 2020.

Source-stated terms

• Raw source string: Kaggle competition rules
• Normalized category: unknown
• Apparent scope: challenge_participation
• Descriptive screening label: Unknown or unclear; do not assume permission

⚠️ 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)