SYN-OCT Synthetic Glaucoma OCT Dataset

Synthetic circumpapillary OCT images for healthy and glaucomatous eyes with retinal-layer masks and RNFL thickness values.

At a glance

Field	Value
Short name	syn_oct
Full name	SYN-OCT Synthetic Glaucoma OCT Dataset
Primary category	oct
Contained modalities	oct
Tasks	classification, segmentation, regression
Samples	200,000
Classes	Not reported (Not reported)
Splits	all
Size	3.255 GB
Source-stated terms	CC BY 4.0
Normalized terms	cc-by
Descriptive screening label	Standard label without an explicit NC clause; not a permission finding
Terms scope	dataset_files
Access friction	anonymous_direct
Route backend	Zenodo
Availability	available (checked 2026-07-21)
Acquisition support	standard_platform_supported
Legacy sample-loader status	Metadata and access only

Notes

Contains 100,000 synthetic glaucoma and 100,000 synthetic normal circumpapillary OCT images. No real patient images are released.

Access preflight and acquisition

CLI

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

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

Python

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

ds = REGISTRY.get_dataset('syn_oct')
print(preflight_dataset(ds, './data'))  # no transfer

Upstream page: https://doi.org/10.5281/zenodo.17151869

Source-term evidence: https://doi.org/10.5281/zenodo.17151869

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

@misc{syn_oct,
  title  = { SYN-OCT Synthetic Glaucoma OCT Dataset },
  note   = { SYN-OCT: A synthetic dataset of ocular optical coherence tomography images from healthy and glaucoma eyes. Scientific Data. 2026. doi:10.1038/s41597-026-06946-5 },
  year   = { 2026 },
  url    = { https://doi.org/10.5281/zenodo.17151869 },
}

Plain text

SYN-OCT: A synthetic dataset of ocular optical coherence tomography images from healthy and glaucoma eyes. Scientific Data. 2026. doi:10.1038/s41597-026-06946-5

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.

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• multieye: MultiEYE: OCT-Enhanced Fundus Multi-Disease Benchmark (58,036 records, mit)
• lmod_plus: LMOD+ Multimodal Ophthalmology Benchmark (32,633 records, unknown)
• harvard_fairvision: Harvard-FairVision (AMD + DR + Glaucoma, paired SLO + OCT) (30,000 records, cc-by-nc-nd)
• mario: MARIO: AMD-Progression Longitudinal OCT (MICCAI 2024) (30,000 records, cc-by)
• mmrdr: MMRDR: Multi-Modal Retinal Diabetic Retinopathy Dataset (24,460 records, cc-by)
• oct_c8: Retinal OCT-C8: 8-Class OCT Classification (24,000 records, unknown)