Duke RPE-Drusen Complex OCT Dataset

OCT data from 384 subjects, including 269 with AMD and 115 normal subjects, with 38,400 B-scans and derived total retina and RPE-drusen complex thickness measurements.

At a glance

Field	Value
Short name	duke_rpedc
Full name	Duke RPE-Drusen Complex OCT Dataset
First published	Unknown
Publication date precision	Unknown
Publication date evidence	Unknown
Publication date source field	Unknown
Publication date reviewed	Unknown
Primary category	oct
Resource role	current_dataset
Dataset family	duke_rpedc
Contained modalities	oct
Tasks	segmentation, classification, measurement
Primary reported quantity	384 participants
Classes	2 (normal, amd)
Splits	all
Size	20.0 GB
Source-stated terms	Research only: research and educational use; commercialization and redistribution prohibited
Normalized terms	research-only
Descriptive screening label	Research or challenge restriction recorded; check source
Terms scope	dataset_files
Access friction	anonymous_direct
Route backend	Manual (upstream-gated)
Availability	available (checked 2026-07-21)
Acquisition support	guided_instructions_only
Legacy sample-loader status	Standard loader included

Reported quantities

Role	Count	Unit	Scope	Basis	Evidence
Primary	384	participants	Primary quantity reported in the reviewed catalog source	legacy_catalog_field	people.duke.edu/~sf59
Additional	38,400	b_scans	B-scans derived from 384 participants	official_source_description	people.duke.edu/~sf59

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

The source describes more than 20 GB of subject data, segmentation boundaries, and thickness maps.

Access information and download

CLI

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

# Download, only when preflight reports supported behavior
eyehub download duke_rpedc --data-dir ./data

Python

from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY

ds = REGISTRY.get_dataset('duke_rpedc')
print(preflight_dataset(ds, './data'))  # no download

Upstream page: people.duke.edu/~sf59

Source-term evidence: people.duke.edu/~sf59

Loader example

This entry includes a standard DatasetSample loader.

from pathlib import Path
from eyedatahub.datasets.registry import REGISTRY

data_dir = Path('~/.eyedatahub/data').expanduser()
ds = REGISTRY.get_dataset('duke_rpedc')
samples = ds.load(data_dir, split='all')
for s in samples[:5]:
    print(s.sample_id, s.label, s.image_path)

Citation

BibTeX

@misc{duke_rpedc,
  title  = { Duke RPE-Drusen Complex OCT Dataset },
  note   = { Farsiu S, Chiu SJ, O'Connell RV, et al. Quantitative classification of eyes with and without intermediate age-related macular degeneration using optical coherence tomography. Ophthalmology. 2014;121:162-172. doi:10.1016/j.ophtha.2013.07.013 },
  year   = { 2014 },
  url    = { https://people.duke.edu/~sf59/RPEDC_Ophth_2013_dataset.htm },
}

Plain text

Farsiu S, Chiu SJ, O'Connell RV, et al. Quantitative classification of eyes with and without intermediate age-related macular degeneration using optical coherence tomography. Ophthalmology. 2014;121:162-172. doi:10.1016/j.ophtha.2013.07.013

Source-stated terms

• Raw source string: Research only: research and educational use; commercialization and redistribution prohibited
• Normalized category: research-only
• Apparent scope: dataset_files
• Descriptive screening label: Research or challenge restriction recorded; check source

⚠️ 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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