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HPMI: High & Pathological Myopia Identification

4,011 color fundus images labeled for high-myopia vs pathological-myopia classification — largest public dataset for HM/PM separation.

At a glance

FieldValue
Short namehpmi
Full nameHPMI: High & Pathological Myopia Identification
Primary categoryfundus
Contained modalitiesfundus
Tasksclassification
Samples4,011
Classes2 (high_myopia, pathological_myopia)
Splitsall
Size2.0 GB
Source-stated termsCC BY 4.0
Normalized termscc-by
Descriptive screening labelStandard label without an explicit NC clause; not a permission finding
Terms scopedataset_files
Access frictionanonymous_direct
Route backendFigshare
Availabilityavailable (checked 2026-07-21)
Acquisition supportstandard_platform_supported
Legacy sample-loader statusMetadata and access only

Notes

Complements EyeDataHub's PALM (pathological-myopia challenge).

Access preflight and acquisition

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

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

Upstream page: https://doi.org/10.6084/m9.figshare.24800232

Source-term evidence: https://doi.org/10.6084/m9.figshare.24800232

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

@misc{hpmi,
title = { HPMI: High & Pathological Myopia Identification },
note = { Huang et al., 'HPMI: A retinal fundus image dataset for identification of high and pathological myopia based on deep learning', Figshare 2024. doi:10.6084/m9.figshare.24800232 },
year = { 2024 },
url = { https://doi.org/10.6084/m9.figshare.24800232 },
}

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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