OIMHS: OCT Image Macular Hole Segmentation Dataset
3,859 OCT B-scan images (125 eyes, 119 patients) for macular hole segmentation. Each PNG is side-by-side: left half raw B-scan, right half colour-coded mask for 4 classes: Retina, Macular Hole, Intraretinal Cysts, Choroid.
At a glance
| Field | Value |
|---|---|
| Short name | oimhs |
| Full name | OIMHS: OCT Image Macular Hole Segmentation Dataset |
| Primary category | oct |
| Contained modalities | oct |
| Tasks | segmentation |
| Samples | 3,859 |
| Classes | 4 (Retina, Macular Hole, Intraretinal Cysts, Choroid) |
| Splits | train |
| Size | 2.0 GB |
| Source-stated terms | CC0 1.0 |
| Normalized terms | cc0 |
| Descriptive screening label | Standard label without an explicit NC clause; not a permission finding |
| Terms scope | dataset_files |
| Access friction | anonymous_direct |
| Route backend | Figshare |
| Availability | available (checked 2026-07-21) |
| Acquisition support | standard_platform_supported |
| Legacy sample-loader status | Standard loader included |
Notes
Images are side-by-side PNGs (left=raw, right=mask). 125 eye-level subfolders under images/. No official split — apply your own train/val/test division.
Access preflight and acquisition
- CLI
- Python
# Read-only preflight
eyehub download oimhs --data-dir ./data --dry-run --json
# Explicit transfer, only when preflight reports supported behavior
eyehub download oimhs --data-dir ./data
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('oimhs')
print(preflight_dataset(ds, './data')) # no transfer
Upstream page: https://doi.org/10.6084/m9.figshare.23508453
Source-term evidence: https://doi.org/10.6084/m9.figshare.23508453
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('oimhs')
samples = ds.load(data_dir, split='train')
for s in samples[:5]:
print(s.sample_id, s.label, s.image_path)
Citation
- BibTeX
- Plain text
@misc{oimhs,
title = { OIMHS: OCT Image Macular Hole Segmentation Dataset },
note = { Ye X et al., 'OIMHS: An Optical Coherence Tomography Image Dataset Based on Macular Hole Manual Segmentation', Scientific Data 10, 769 (2023). doi:10.1038/s41597-023-02675-1 },
year = { 2023 },
url = { https://doi.org/10.6084/m9.figshare.23508453 },
}
Ye X et al., 'OIMHS: An Optical Coherence Tomography Image Dataset Based on Macular Hole Manual Segmentation', Scientific Data 10, 769 (2023). doi:10.1038/s41597-023-02675-1
Source-stated terms
- Raw source string: CC0 1.0
- 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.
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