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 |
| Primary category | multimodal |
| Contained modalities | external_eye, infrared |
| Tasks | segmentation |
| Samples | 3,432 |
| 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 | anonymous_direct |
| Route backend | Figshare |
| Availability | available (checked 2026-07-21) |
| Acquisition support | transfer_tested_partial |
| Legacy sample-loader status | Metadata and access only |
Notes
Figshare marks the deposited files CC BY 4.0. Adds a dry-eye and tear-film modality that is otherwise absent.
Access preflight and acquisition
- CLI
- Python
# Read-only preflight
eyehub download tear_meniscus --data-dir ./data --dry-run --json
# Explicit transfer, 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 transfer
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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