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AFIO Fundus Images for Vessel Segmentation and Disease Annotation

One hundred retinal fundus images from Armed Forces Institute of Ophthalmology, Rawalpindi, with expert annotations for vessels and hypertensive retinopathy, diabetic retinopathy, and papilledema tasks.

At a glance

FieldValue
Short nameafio_fundus_vessels
Full nameAFIO Fundus Images for Vessel Segmentation and Disease Annotation
Primary categoryfundus
Contained modalitiesfundus
Taskssegmentation, classification
Samples100
ClassesNot reported (Not reported)
Splitsall
Size0.2 GB
Source-stated termsCC BY 4.0
Normalized termscc-by
Descriptive screening labelStandard label without an explicit NC clause; not a permission finding
Terms scopedataset_files
Access frictionanonymous_direct
Route backendMendeley Data
Availabilityavailable (checked 2026-07-21)
Acquisition supportstandard_platform_supported
Legacy sample-loader statusMetadata and access only

Notes

Mendeley Data may block automated URL probes with HTTP 403 (no bot allowed); browser link is valid.

Access preflight and acquisition

# Read-only preflight
eyehub download afio_fundus_vessels --data-dir ./data --dry-run --json

# Explicit transfer, only when preflight reports supported behavior
eyehub download afio_fundus_vessels --data-dir ./data

Upstream page: data.mendeley.com/datasets

Source-term evidence: data.mendeley.com/datasets

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

@misc{afio_fundus_vessels,
title = { AFIO Fundus Images for Vessel Segmentation and Disease Annotation },
note = { Akram MU et al. Data on Fundus Images for Vessels Segmentation, Detection of Hypertensive Retinopathy, Diabetic Retinopathy and Papilledema. Mendeley Data, V2, 2019. doi:10.17632/3csr652p9y.2 },
year = { 2019 },
url = { https://data.mendeley.com/datasets/3csr652p9y/2 },
}

Source-stated terms

  • Raw source string: CC BY 4.0
  • Normalized category: cc-by
  • Apparent scope: dataset_files
  • Descriptive screening label: Standard label without an explicit NC clause; not a permission finding

⚠️ 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.

  • airogs: AIROGS: AI for Robust Glaucoma Screening (113,893 records, 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)