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Eye Conjunctiva Segmentation Dataset

Five hundred forty-seven smartphone eye photographs with conjunctiva masks annotated independently by two annotators.

At a glance

FieldValue
Short nameeye_conjunctiva_segmentation
Full nameEye Conjunctiva Segmentation Dataset
Primary categoryexternal_eye
Contained modalitiesexternal_eye
Taskssegmentation
Samples547
ClassesNot reported (Not reported)
Splitsall
SizeNot reported
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 backendMendeley Data
Availabilityavailable (checked 2026-07-21)
Acquisition supportstandard_platform_supported
Legacy sample-loader statusMetadata and access only

Access preflight and acquisition

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

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

Upstream page: data.mendeley.com/datasets

Source-term evidence: data.mendeley.com/datasets

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{eye_conjunctiva_segmentation,
title = { Eye Conjunctiva Segmentation Dataset },
note = { Rahman MM, Faruk O, Ullah SSA, Alam MJ, Sadman SMS. Eye Conjunctiva Segmentation Dataset. Mendeley Data, V1, 2023. doi:10.17632/yxwjgcndg2.1 },
year = { 2023 },
url = { https://data.mendeley.com/datasets/yxwjgcndg2/1 },
}

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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