Multi-Source Heterogeneous Fundus Dataset for Image Quality Assessment

Multi-source heterogeneous retinal fundus image-quality assessment dataset for training and evaluating quality-control models.

At a glance

Field	Value
Short name	mshf
Full name	Multi-Source Heterogeneous Fundus Dataset for Image Quality Assessment
Primary category	fundus
Contained modalities	fundus
Tasks	quality_assessment, classification
Samples	Not reported
Classes	Not reported (Not reported)
Splits	all
Size	1.06 GB
Source-stated terms	CC BY 4.0
Normalized terms	cc-by
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	Metadata and access only

Notes

Multi-source quality-assessment dataset; review source composition before treating all images as a single independent cohort.

Access preflight and acquisition

CLI

# Read-only preflight
eyehub download mshf --data-dir ./data --dry-run --json

# Explicit transfer, only when preflight reports supported behavior
eyehub download mshf --data-dir ./data

Python

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

ds = REGISTRY.get_dataset('mshf')
print(preflight_dataset(ds, './data'))  # no transfer

Upstream page: https://doi.org/10.6084/m9.figshare.21507564

Source-term evidence: https://doi.org/10.6084/m9.figshare.21507564

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{mshf,
  title  = { Multi-Source Heterogeneous Fundus Dataset for Image Quality Assessment },
  note   = { Jin K, Gao Z, Jiang X, Wang Y, Ma X, Li Y, Ye J. MSHF: A Multi-Source Heterogeneous Fundus Dataset for Image Quality Assessment. Figshare, 2023. doi:10.6084/m9.figshare.21507564 },
  year   = { 2023 },
  url    = { https://doi.org/10.6084/m9.figshare.21507564 },
}

Plain text

Jin K, Gao Z, Jiang X, Wang Y, Ma X, Li Y, Ye J. MSHF: A Multi-Source Heterogeneous Fundus Dataset for Image Quality Assessment. Figshare, 2023. doi:10.6084/m9.figshare.21507564

Source-stated terms

• Raw source string: CC BY 4.0
• Normalized category: cc-by
• 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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