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
| Field | Value |
|---|---|
| Short name | tear_meniscus |
| Full name | Multicentre Tear Meniscus Segmentation Dataset |
| Publication date | 2025-03-24 |
| Date basis | Initial dataset release |
| 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 |
| Date notes | Version 1 is earliest; current record is version 2. |
| Primary category | multimodal |
| Resource role | current_dataset |
| Dataset family | tear_meniscus |
| Contained modalities | external_eye, infrared |
| Tasks | segmentation |
| Primary reported quantity | 3,432 images |
| Classes | 2 (Not reported) |
| Splits | all |
| Size | 1.5 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 | self_service_authenticated |
| Route backend | Figshare |
| Availability | available (checked 2026-07-21) |
| Acquisition support | end_to_end_tested |
| Legacy sample-loader status | Metadata and access only |
Reported quantities
| Role | Count | Unit | Scope | Basis | Evidence |
|---|---|---|---|---|---|
| Primary | 3,432 | images | Primary quantity reported in the reviewed catalog source | legacy_catalog_field | https://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
- CLI
- Python
# 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
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('tear_meniscus')
print(preflight_dataset(ds, './data')) # no download
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
- BibTeX
- Plain text
@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 },
}
Multicentre tear meniscus segmentation dataset, Scientific Data 2025.
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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