DRIVE: Digital Retinal Images for Vessel Extraction
Forty color fundus photographs from a diabetic retinopathy screening program, divided into 20 training and 20 test images, with vessel reference annotations and field of view masks.
At a glance
| Field | Value |
|---|---|
| Short name | drive |
| Full name | DRIVE: Digital Retinal Images for Vessel Extraction |
| Primary category | fundus |
| Contained modalities | fundus |
| Tasks | segmentation |
| Samples | 40 |
| Classes | 2 (background, vessel) |
| Splits | train, test |
| Size | Not reported |
| Source-stated terms | Unknown; no named dataset license on the official page |
| Normalized terms | unknown |
| Descriptive screening label | Unknown or unclear; do not assume permission |
| Terms scope | unknown |
| Access friction | self_service_authenticated |
| 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 official page reports 768 by 584 pixel images, one manual vessel segmentation for each training image, and hidden test references used by the evaluation server. Verify reuse terms with the source before redistribution.
Access preflight and acquisition
- CLI
- Python
# Read-only preflight
eyehub download drive --data-dir ./data --dry-run --json
# Explicit transfer, only when preflight reports supported behavior
eyehub download drive --data-dir ./data
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('drive')
print(preflight_dataset(ds, './data')) # no transfer
Upstream page: drive.grand-challenge.org/DRIVE
Source-term evidence: drive.grand-challenge.org/DRIVE
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{drive,
title = { DRIVE: Digital Retinal Images for Vessel Extraction },
note = { Staal J, Abramoff MD, Niemeijer M, Viergever MA, van Ginneken B. Ridge-based vessel segmentation in color images of the retina. IEEE Trans Med Imaging. 2004;23:501-509. doi:10.1109/TMI.2004.825627 },
year = { 2004 },
url = { https://drive.grand-challenge.org/DRIVE/ },
}
Staal J, Abramoff MD, Niemeijer M, Viergever MA, van Ginneken B. Ridge-based vessel segmentation in color images of the retina. IEEE Trans Med Imaging. 2004;23:501-509. doi:10.1109/TMI.2004.825627
Source-stated terms
- Raw source string: Unknown; no named dataset license on the official page
- 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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