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
First published	2023-10-31
Publication date precision	day
Publication date evidence	api.figshare.com/v2
Publication date source field	published_date (Figshare version 1)
Publication date reviewed	2026-09-11
Primary category	oct
Resource role	current_dataset
Dataset family	oimhs
Contained modalities	oct
Tasks	segmentation
Primary reported quantity	3,859 images
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	self_service_authenticated
Route backend	Figshare
Availability	available (checked 2026-07-21)
Acquisition support	end_to_end_tested
Legacy sample-loader status	Standard loader included

Reported quantities

Role	Count	Unit	Scope	Basis	Evidence
Primary	3,859	images	Primary quantity reported in the reviewed catalog source	legacy_catalog_field	https://doi.org/10.6084/m9.figshare.23508453

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

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.

Documented relationships

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

• lmod_plus is derived from this record: The LMOD+ project page lists nine component datasets, including the five cataloged targets represented by these edges. (evidence)
• 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)
• 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 oimhs --data-dir ./data --dry-run --json

# Download, only when preflight reports supported behavior
eyehub download oimhs --data-dir ./data

Python

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

ds = REGISTRY.get_dataset('oimhs')
print(preflight_dataset(ds, './data'))  # no download

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

@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 },
}

Plain text

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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