AngioReport Fundus Angiography Report Dataset
De-identified fluorescein and indocyanine-green angiography images paired with structured lesion descriptions and reports.
At a glance
| Field | Value |
|---|---|
| Short name | angioreport |
| Full name | AngioReport Fundus Angiography Report Dataset |
| Primary category | multimodal |
| Contained modalities | fundus, fundus_angiography, text |
| Tasks | report_generation, multilabel, classification |
| Samples | 55,361 |
| Classes | Not reported (Not reported) |
| Splits | all |
| Size | Not reported |
| Source-stated terms | Unknown; competition data terms must be reviewed |
| Normalized terms | unknown |
| Descriptive screening label | Unknown or unclear; do not assume permission |
| Terms scope | unknown |
| Access friction | self_service_clickthrough |
| Route backend | Manual (upstream-gated) |
| Availability | available (checked 2026-07-21) |
| Acquisition support | guided_instructions_only |
| Legacy sample-loader status | Metadata and access only |
Notes
The paper reports 55,361 images from 1,691 patients and 3,179 eyes across 24 diagnostic conditions. Access is routed through the 2023 APTOS/Tianchi competition page; no clear dataset license was visible, so users must review current platform terms.
Access preflight and acquisition
- CLI
- Python
# Read-only preflight
eyehub download angioreport --data-dir ./data --dry-run --json
# Explicit transfer, only when preflight reports supported behavior
eyehub download angioreport --data-dir ./data
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('angioreport')
print(preflight_dataset(ds, './data')) # no transfer
Upstream page: tianchi.aliyun.com/dataset
Source-term evidence: tianchi.aliyun.com/dataset
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{angioreport,
title = { AngioReport Fundus Angiography Report Dataset },
note = { Xu P, Chotcomwongse P, Zhang W, et al. AngioReport: Dataset and baseline methods for fundus angiography report generation. British Journal of Ophthalmology. 2025;109:1283-1288. doi:10.1136/bjo-2024-327006 },
year = { 2025 },
url = { https://tianchi.aliyun.com/dataset/170128 },
}
Xu P, Chotcomwongse P, Zhang W, et al. AngioReport: Dataset and baseline methods for fundus angiography report generation. British Journal of Ophthalmology. 2025;109:1283-1288. doi:10.1136/bjo-2024-327006
Source-stated terms
- Raw source string: Unknown; competition data terms must be reviewed
- Normalized category:
unknown - Apparent scope:
unknown - 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
- eyecare_100k: Eyecare-100K: Multimodal Ophthalmology VQA Corpus (102,000 records,
unknown) - ffa_ir: FFA-IR Medical Report Dataset (47,247 records,
unknown) - x_pcr: X-PCR Ophthalmology Progressive Clinical Reasoning Benchmark (18,700 records,
unknown) - mm_retinal_reason: MM-Retinal-Reason: Ophthalmology Multimodal Reasoning Dataset (count not reported records,
unknown) - ophthalvqa: OphthalVQA Dataset (count not reported records,
cc-by) - lmod_plus: LMOD+ Multimodal Ophthalmology Benchmark (32,633 records,
unknown) - deepeyenet: DeepEyeNet (DEN): Fundus Report Generation Dataset (15,709 records,
research-only) - fundus_report_dataset: Fundus Report Dataset (422 records,
cc-by)