OCTDL: OCT Deep Learning Dataset

2,000+ OCT images labeled for 7 conditions: AMD, DME, ERM, NO (normal), RAO, RVO, VID.

At a glance

Field	Value
Short name	octdl
Full name	OCTDL: OCT Deep Learning Dataset
Primary category	oct
Contained modalities	oct
Tasks	classification
Samples	2,000
Classes	7 (AMD, DME, ERM, NO, RAO, RVO, VID)
Splits	all
Size	0.8 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	Mendeley Data
Availability	available (checked 2026-07-21)
Acquisition support	standard_platform_supported
Legacy sample-loader status	Standard loader included

Access preflight and acquisition

CLI

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

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

Python

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

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

Upstream page: data.mendeley.com/datasets

Source-term evidence: data.mendeley.com/datasets

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

Citation

BibTeX

@misc{octdl,
  title  = { OCTDL: OCT Deep Learning Dataset },
  note   = { Kulyabin et al., 'OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods', Scientific Data 2024 },
  year   = { 2024 },
  url    = { https://data.mendeley.com/datasets/sncdhf53xc/4 },
}

Plain text

Kulyabin et al., 'OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods', Scientific Data 2024.

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.

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)