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 |
| Primary category | fundus |
| Contained modalities | fundus |
| Tasks | multilabel, classification |
| Samples | 3,785 |
| 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 |
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.
Access preflight and acquisition
- CLI
- Python
# Read-only preflight
eyehub download vietai_retinal_disease --data-dir ./data --dry-run --json
# Explicit transfer, only when preflight reports supported behavior
eyehub download vietai_retinal_disease --data-dir ./data
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 transfer
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
- Plain text
@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 },
}
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.
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)