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Multicentre Tear Meniscus Segmentation Dataset

1,693 color and 1,739 infrared ocular-surface images from five clinical centers with pixel-level tear-meniscus segmentation. First multi-center dry-eye imaging benchmark.

At a glance

FieldValue
Short nametear_meniscus
Full nameMulticentre Tear Meniscus Segmentation Dataset
First published2025-03-24
Publication date precisionday
Publication date evidenceapi.figshare.com/v2
Publication date source fieldpublished_date (Figshare version 1)
Publication date reviewed2026-09-11
Primary categorymultimodal
Resource rolecurrent_dataset
Dataset familytear_meniscus
Contained modalitiesexternal_eye, infrared
Taskssegmentation
Primary reported quantity3,432 images
Classes2 (Not reported)
Splitsall
Size1.5 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 frictionself_service_authenticated
Route backendFigshare
Availabilityavailable (checked 2026-07-21)
Acquisition supportend_to_end_tested
Legacy sample-loader statusMetadata and access only

Reported quantities

RoleCountUnitScopeBasisEvidence
Primary3,432imagesPrimary quantity reported in the reviewed catalog sourcelegacy_catalog_fieldhttps://doi.org/10.6084/m9.figshare.28650536.v2

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

Figshare marks the deposited files CC BY 4.0. Adds a dry-eye and tear-film modality that is otherwise absent.

Access information and download

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

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

Upstream page: https://doi.org/10.6084/m9.figshare.28650536.v2

Source-term evidence: https://doi.org/10.6084/m9.figshare.28650536.v2

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{tear_meniscus,
title = { Multicentre Tear Meniscus Segmentation Dataset },
note = { Multicentre tear meniscus segmentation dataset, Scientific Data 2025 },
year = { 2025 },
url = { https://doi.org/10.6084/m9.figshare.28650536.v2 },
}

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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