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 |
| Publication date | 2020-09-06 |
| Date basis | Initial dataset release |
| Publication date precision | day |
| Publication date evidence | kaggle.com/c |
| Publication date source field | Kaggle competition Overview: Start |
| Publication date reviewed | 2026-09-11 |
| Date notes | The official Kaggle competition page reports Start: September 6, 2020; this is the competition resource's public start. |
| 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 fromthis 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
- Python
# 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
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
- 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.
Similar resources by shared modality
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cc-by-nc-nd) - multieye: MultiEYE: OCT-Enhanced Fundus Multi-Disease Benchmark (103,959 images,
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unknown) - ffa_ir: FFA-IR Medical Report Dataset (47,247 images,
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