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
Publication date	2018-12-19
Date basis	Initial dataset release
Publication date precision	day
Publication date evidence	borealisdata.ca/api
Publication date source field	Borealis Dataverse API search: published_at / versionState
Publication date reviewed	2026-09-11
Date notes	The official OCTID Dataverse search returns the OCTID citation dataset as RELEASED version 1 with published_at 2018-12-19; the OCTID dataverse contents list all eight component records with the same publicationDate.
Primary category	oct
Resource role	current_dataset
Dataset family	octid
Contained modalities	oct
Tasks	classification
Primary reported quantity	500 images
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

Reported quantities

Role	Count	Unit	Scope	Basis	Evidence
Primary	500	images	Primary quantity reported in the reviewed catalog source	legacy_catalog_field	borealisdata.ca/dataverse

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

Freely available from Borealis Data Repository. No account required.

Documented relationships

These links record source-supported lineage or overlap, not merely similar modality tags.

• mm_retinal_reason is derived from this record: The version-pinned official dataset card lists this record among the CFP or OCT sources used to construct MM-Retinal-Reason. (evidence)
• multieye is derived from this record: The MultiEYE paper names this record as one of the public fundus or OCT sources assembled for the benchmark. (evidence)
• x_pcr is derived from this record: Source labels in the version-pinned public X-PCR deposit identify this catalog record as upstream material. (evidence)

Access information and download

CLI

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

# Download, 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 download

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.

Similar resources by shared modality

• syn_oct: SYN-OCT Synthetic Glaucoma OCT Dataset (200,000 images, cc-by)
• multieye: MultiEYE: OCT-Enhanced Fundus Multi-Disease Benchmark (103,959 images, mit)
• eyecare_100k: Eyecare-100K: Multimodal Ophthalmology VQA Corpus (102,000 question answer pairs, unknown)
• kermany_oct: Kermany OCT 2018: Retinal OCT Image Classification (84,484 images, cc-by)
• lmod_plus: LMOD+ Multimodal Ophthalmology Benchmark (32,633 annotated instances, unknown)
• harvard_fairvision: Harvard-FairVision (AMD + DR + Glaucoma, paired SLO + OCT) (30,000 participants, cc-by-nc-nd)
• mario: MARIO: AMD-Progression Longitudinal OCT (MICCAI 2024) (30,000 images, cc-by)
• mmrdr: MMRDR: Multi-Modal Retinal Diabetic Retinopathy Dataset (24,460 images, cc-by)