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 |
| First published | Unknown |
| Publication date precision | Unknown |
| Publication date evidence | Unknown |
| Publication date source field | Unknown |
| Publication date reviewed | Unknown |
| Primary category | oct |
| Resource role | current_dataset |
| Dataset family | thoct1800 |
| Contained modalities | oct |
| Tasks | classification |
| Primary reported quantity | 1,800 images |
| 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 | end_to_end_tested |
| Legacy sample-loader status | Metadata and access only |
Reported quantities
| Role | Count | Unit | Scope | Basis | Evidence |
|---|---|---|---|---|---|
| Primary | 1,800 | images | Primary quantity reported in the reviewed catalog source | legacy_catalog_field | github.com/SJD095 |
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
The official repository permits research and educational use and asks users to cite the project. No standard license file is present.
Access information and download
- CLI
- Python
# Read-only preflight
eyehub download thoct1800 --data-dir ./data --dry-run --json
# Download, 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 download
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.
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