OCHID: OCT Choroidal Image Dataset

A collection of 640 retinal OCT images with expert choroidal region annotations for choroid segmentation.

At a glance

Field	Value
Short name	ochid
Full name	OCHID: OCT Choroidal Image 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	ochid
Contained modalities	oct
Tasks	segmentation
Primary reported quantity	640 images
Classes	2 (background, choroid)
Splits	all
Size	Not reported
Source-stated terms	Research only: academic research use by request
Normalized terms	research-only
Descriptive screening label	Research or challenge restriction recorded; check source
Terms scope	dataset_files
Access friction	author_contact
Route backend	Manual (upstream-gated)
Availability	available (checked 2026-07-21)
Acquisition support	manual_access_blocked
Legacy sample-loader status	Metadata and access only

Reported quantities

Role	Count	Unit	Scope	Basis	Evidence
Primary	640	images	Primary quantity reported in the reviewed catalog source	legacy_catalog_field	imed.nimte.ac.cn/OCHID.html

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 project page asks academic users to request the dataset by email. It does not provide a standard license.

Access information and download

CLI

# This route requires upstream human action; no transfer starts.
eyehub download ochid --data-dir ./data --dry-run --json
# Follow the official instructions shown by preflight.

Python

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

ds = REGISTRY.get_dataset('ochid')
print(preflight_dataset(ds, './data'))  # returns manual_access_blocked

Upstream page: imed.nimte.ac.cn/OCHID.html

Source-term evidence: imed.nimte.ac.cn/OCHID.html

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

@misc{ochid,
  title  = { OCHID: OCT Choroidal Image Dataset },
  note   = { Yan Q, Gu Y, Zhao J, et al. Automatic choroid layer segmentation in OCT images via context efficient adaptive network. Appl Intell. 2023;53:5554-5566. doi:10.1007/s10489-022-03723-w },
  year   = { 2023 },
  url    = { https://imed.nimte.ac.cn/OCHID.html },
}

Plain text

Yan Q, Gu Y, Zhao J, et al. Automatic choroid layer segmentation in OCT images via context efficient adaptive network. Appl Intell. 2023;53:5554-5566. doi:10.1007/s10489-022-03723-w

Source-stated terms

• Raw source string: Research only: academic research use by request
• 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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