Skip to main content

HVDROPDB Datasets for Classification and Segmentation for Research in Retinopathy of Prematurity, Ranjana Agrawal

Human/derived image or image-annotation observations. from Preterm infants screened at H.V. Desai Eye Hospital.

At a glance

FieldValue
Short namemendeley_hvdropdb_datasets_classification_segmentation_research_retinopathy
Full nameHVDROPDB Datasets for Classification and Segmentation for Research in Retinopathy of Prematurity, Ranjana Agrawal
First published2023-11-14
Publication date precisionday
Publication date evidencedata.mendeley.com/public-api
Publication date source fieldversions[version=1].publish_date
Publication date reviewed2026-09-11
Primary categoryfundus
Resource rolecurrent_dataset
Dataset familymendeley_hvdropdb_datasets_classification_segmentation_research_retinopathy
Contained modalitiesfundus
Taskssegmentation
Primary reported quantityNot reported
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 frictionself_service_authenticated
Route backendMendeley Data
Availabilityavailable (checked 2026-08-02)
Acquisition supportstandard_platform_supported
Legacy sample-loader statusMetadata and access only

Reported quantities

No reproducible primary item count was exposed for the cataloged source version.

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

Human provenance: Preterm infants screened at H.V. Desai Eye Hospital. Source-review finding: RetCam/Neo fundus images; ROP/normal classification and expert manual segmentation ground truth.

Access information and download

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

# Download, only when preflight reports supported behavior
eyehub download mendeley_hvdropdb_datasets_classification_segmentation_research_retinopathy --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{mendeley_hvdropdb_datasets_classification_segmentation_research_retinopathy,
title = { HVDROPDB Datasets for Classification and Segmentation for Research in Retinopathy of Prematurity, Ranjana Agrawal },
note = { HVDROPDB Datasets for Classification and Segmentation for Research in Retinopathy of Prematurity, Ranjana Agrawal. Mendeley Data, V3. doi:10.17632/xw5xc7xrmp.3 },
url = { https://data.mendeley.com/datasets/xw5xc7xrmp/3 },
}

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.

Similar resources by shared modality

  • airogs: AIROGS: AI for Robust Glaucoma Screening (113,893 images, cc-by-nc-nd)
  • multieye: MultiEYE: OCT-Enhanced Fundus Multi-Disease Benchmark (103,959 images, mit)
  • eyecare_100k: Eyecare-100K: Multimodal Ophthalmology VQA Corpus (102,000 question answer pairs, unknown)
  • justraigs: JustRAIGS: Just Referral AI Glaucoma Screening Dataset (101,442 images, cc-by-nc-nd)
  • eyepacs: EyePACS — Diabetic Retinopathy Detection (Kaggle 2015) (88,702 images, research-only)
  • angioreport: AngioReport Fundus Angiography Report Dataset (55,361 images, unknown)
  • ffa_ir: FFA-IR Medical Report Dataset (47,247 images, unknown)
  • mfiddr: MFIDDR: Multi-Field Imaging Dataset for Diabetic Retinopathy (34,452 images, mit)