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Paired Retina Dataset: Cross-Device Fundus Pairs

Paired tabletop and portable retinal images from the same patients, enabling cross-device domain-adaptation research.

At a glance

FieldValue
Short namepaired_retina
Full namePaired Retina Dataset: Cross-Device Fundus Pairs
Primary categoryfundus
Contained modalitiesfundus
Tasksclassification, regression
SamplesNot reported
ClassesNot reported (Not reported)
Splitstrain, val, test
Size3.0 GB
Source-stated termsUnknown — needs check (HF)
Normalized termsunknown
Descriptive screening labelUnknown or unclear; do not assume permission
Terms scopeunknown
Access frictionanonymous_direct
Route backendHuggingFace Hub
Availabilityavailable (checked 2026-07-21)
Acquisition supportstandard_platform_supported
Legacy sample-loader statusMetadata and access only

Notes

Provenance and license require verification against the underlying publication before commercial use.

Access preflight and acquisition

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

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

Upstream page: huggingface.co/datasets

Source-term evidence: huggingface.co/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{paired_retina,
title = { Paired Retina Dataset: Cross-Device Fundus Pairs },
note = { Paired Retina Dataset: Cross-device fundus pairs. HuggingFace, 2025 },
year = { 2025 },
url = { https://huggingface.co/datasets/smartretina2025/paired_retina },
}

Source-stated terms

  • Raw source string: Unknown — needs check (HF)
  • 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.

  • 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)