THOCT1800 Retinal OCT Dataset
A collection of 1,800 preprocessed retinal OCT B-scans, with 600 images each for AMD, diabetic macular edema, and normal retina.
At a glance
| Field | Value |
|---|---|
| Short name | thoct1800 |
| Full name | THOCT1800 Retinal OCT Dataset |
| Primary category | oct |
| Contained modalities | oct |
| Tasks | classification |
| Samples | 1,800 |
| Classes | 3 (amd, dme, normal) |
| Splits | all |
| Size | Not reported |
| Source-stated terms | Research only: research and educational use |
| Normalized terms | research-only |
| Descriptive screening label | Research or challenge restriction recorded; check source |
| Terms scope | dataset_files |
| Access friction | anonymous_direct |
| Route backend | GitHub |
| Availability | available (checked 2026-07-21) |
| Acquisition support | loader_implemented_not_live_tested |
| Legacy sample-loader status | Metadata and access only |
Notes
The official repository permits research and educational use and asks users to cite the project. No standard license file is present.
Access preflight and acquisition
- CLI
- Python
# Read-only preflight
eyehub download thoct1800 --data-dir ./data --dry-run --json
# Explicit transfer, only when preflight reports supported behavior
eyehub download thoct1800 --data-dir ./data
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('thoct1800')
print(preflight_dataset(ds, './data')) # no transfer
Upstream page: github.com/SJD095
Source-term evidence: github.com/SJD095
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
- Plain text
@misc{thoct1800,
title = { THOCT1800 Retinal OCT Dataset },
note = { THOCT1800 retinal OCT image dataset. OCT-Segmentation project. GitHub },
url = { https://github.com/SJD095/OCT-Segmentation },
}
THOCT1800 retinal OCT image dataset. OCT-Segmentation project. GitHub.
Source-stated terms
- Raw source string: Research only: research and educational use
- 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.
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)