JRC Multi-Modal Retinal Vessel Segmentation
Multi-modal retinal vessel segmentation dataset spanning fluorescence angiography, fundus autofluorescence, and infrared imaging.
At a glance
| Field | Value |
|---|---|
| Short name | jrc_multimodal_vessels |
| Full name | JRC Multi-Modal Retinal Vessel Segmentation |
| First published | 2025-12-10 |
| Publication date precision | day |
| Publication date evidence | zenodo.org/api |
| Publication date source field | metadata.publication_date (earliest listed public Zenodo version) |
| Publication date reviewed | 2026-09-11 |
| Primary category | multimodal |
| Resource role | current_dataset |
| Dataset family | jrc_multimodal_vessels |
| Contained modalities | fundus, fundus_angiography, fundus_autofluorescence, infrared |
| Tasks | segmentation |
| Primary reported quantity | 120 images |
| Classes | Not reported (Not reported) |
| Splits | all |
| Size | Not reported |
| Source-stated terms | Academic request / Unknown |
| Normalized terms | unknown |
| Descriptive screening label | Unknown or unclear; do not assume permission |
| Terms scope | unknown |
| Access friction | controlled_or_manual |
| Route backend | Manual (upstream-gated) |
| Availability | available (checked 2026-07-21) |
| Acquisition support | manual_access_blocked |
| Legacy sample-loader status | Metadata and access only |
Reported quantities
| Role | Count | Unit | Scope | Basis | Evidence |
|---|---|---|---|---|---|
| Primary | 120 | images | Forty images in each of FA, FAF, and infrared subsets | derived_from_reported_components | zenodo.org/records |
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
Source page indicates access by academic request; not an open direct download.
Access information and download
- CLI
- Python
# This route requires upstream human action; no transfer starts.
eyehub download jrc_multimodal_vessels --data-dir ./data --dry-run --json
# Follow the official instructions shown by preflight.
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('jrc_multimodal_vessels')
print(preflight_dataset(ds, './data')) # returns manual_access_blocked
Upstream page: zenodo.org/records
Source-term evidence: zenodo.org/records
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{jrc_multimodal_vessels,
title = { JRC Multi-Modal Retinal Vessel Segmentation },
note = { JRC-Multi-Modal Retinal Vessel Segmentation. Zenodo, 2026. doi:10.5281/zenodo.17874693 },
year = { 2026 },
url = { https://zenodo.org/records/17874693 },
}
JRC-Multi-Modal Retinal Vessel Segmentation. Zenodo, 2026. doi:10.5281/zenodo.17874693
Source-stated terms
- Raw source string: Academic request / Unknown
- 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.
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