OCTID: OCT Image Database

500 OCT images: NORMAL (206), AMD (50), CSC (128), DR (59), MH (57). High-resolution B-scans for 5-class classification.

At a glance

Field	Value
Short name	octid
Full name	OCTID: OCT Image Database
Primary category	oct
Contained modalities	oct
Tasks	classification
Samples	500
Classes	5 (NORMAL, AMD, CSC, DR, MH)
Splits	all
Size	0.3 GB
Source-stated terms	CC0 1.0 Universal
Normalized terms	cc0
Descriptive screening label	Standard label without an explicit NC clause; not a permission finding
Terms scope	dataset_files
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	Standard loader included

Notes

Freely available from Borealis Data Repository. No account required.

Access preflight and acquisition

CLI

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

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

Python

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

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

Upstream page: borealisdata.ca/dataverse

Source-term evidence: borealisdata.ca/dataverse

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('octid')
samples = ds.load(data_dir, split='all')
for s in samples[:5]:
    print(s.sample_id, s.label, s.image_path)

Citation

BibTeX

@misc{octid,
  title  = { OCTID: OCT Image Database },
  note   = { Gholami et al., 'OCTID: Optical Coherence Tomography Image Database', Elsevier 2020 },
  year   = { 2020 },
  url    = { https://borealisdata.ca/dataverse/OCTID },
}

Plain text

Gholami et al., 'OCTID: Optical Coherence Tomography Image Database', Elsevier 2020.

Source-stated terms

• Raw source string: CC0 1.0 Universal
• Normalized category: cc0
• 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.

Related datasets with shared modalities

• syn_oct: SYN-OCT Synthetic Glaucoma OCT Dataset (200,000 records, cc-by)
• eyecare_100k: Eyecare-100K: Multimodal Ophthalmology VQA Corpus (102,000 records, unknown)
• kermany_oct: Kermany OCT 2018: Retinal OCT Image Classification (84,484 records, cc-by)
• 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)