{"@context":{"@language":"en","@vocab":"https://schema.org/","citeAs":"cr:citeAs","column":"cr:column","conformsTo":"dct:conformsTo","cr":"http://mlcommons.org/croissant/","data":{"@id":"cr:data","@type":"@json"},"dataBiases":"cr:dataBiases","dataCollection":"cr:dataCollection","dataType":{"@id":"cr:dataType","@type":"@vocab"},"dct":"http://purl.org/dc/terms/","extract":"cr:extract","field":"cr:field","fileProperty":"cr:fileProperty","fileObject":"cr:fileObject","fileSet":"cr:fileSet","format":"cr:format","includes":"cr:includes","isEnumeration":"cr:isEnumeration","isLiveDataset":"cr:isLiveDataset","jsonPath":"cr:jsonPath","key":"cr:key","md5":"cr:md5","parentField":"cr:parentField","path":"cr:path","personalSensitiveInformation":"cr:personalSensitiveInformation","recordSet":"cr:recordSet","references":"cr:references","regex":"cr:regex","repeated":"cr:repeated","replace":"cr:replace","sc":"https://schema.org/","separator":"cr:separator","source":"cr:source","subField":"cr:subField","transform":"cr:transform","wd":"https://www.wikidata.org/wiki/"},"alternateName":"Collection of 9 datasets for blood vessel segmentation from retinal fundus image","conformsTo":"http://mlcommons.org/croissant/1.0","license":{"@type":"sc:CreativeWork","name":"MIT","url":"https://www.mit.edu/~amini/LICENSE.md"},"distribution":[{"contentUrl":"https://www.kaggle.com/api/v1/datasets/download/fhimjo15/reyia-dataset","contentSize":"2.01 GB","encodingFormat":"application/zip","@id":"archive.zip","@type":"cr:FileObject","name":"archive.zip","description":"Archive containing all the contents of the REYIA dataset dataset"},{"includes":"*.png","containedIn":{"@id":"archive.zip"},"encodingFormat":"image/png","@id":"image-png_fileset","@type":"cr:FileSet","name":"image/png files","description":"image/png files contained in archive.zip"},{"includes":"*.jpg","containedIn":{"@id":"archive.zip"},"encodingFormat":"image/jpeg","@id":"image-jpeg_fileset","@type":"cr:FileSet","name":"image/jpeg files","description":"image/jpeg files contained in archive.zip"}],"keywords":["subject \u003E health and fitness \u003E health \u003E eyes and vision","data type \u003E image","technique \u003E computer vision","task \u003E image-segmentation"],"isAccessibleForFree":true,"isLiveDataset":true,"includedInDataCatalog":{"@type":"sc:DataCatalog","name":"Kaggle","url":"https://www.kaggle.com"},"creator":{"@type":"sc:Person","name":"fhimjo15","url":"/fhimjo15","image":"https://storage.googleapis.com/kaggle-avatars/thumbnails/default-thumb.png"},"publisher":{"@type":"sc:Organization","name":"Kaggle","url":"https://www.kaggle.com/organizations/kaggle","image":"https://storage.googleapis.com/kaggle-organizations/4/thumbnail.png"},"thumbnailUrl":"https://storage.googleapis.com/kaggle-datasets-images/7397734/11782879/05f95649357d7fe0d2ea0fd7510e3bab/dataset-card.png?t=2025-05-12-14-45-23","dateModified":"2025-05-13T10:31:46.347","@type":"sc:Dataset","name":"REYIA dataset","url":"https://www.kaggle.com/datasets/fhimjo15/reyia-dataset","description":"We introduce REYIA, a curated set of 585 retinal fundus images annotated with AV blood vessel segmentations using the open-access [Lirot.ai software](https://www.aimlab-technion.com/lirot-ai). To enhance diversity, REYIA includes manually segmented images as part of this research from nine datasets: [FIVES](https://www.nature.com/articles/s41597-022-01564-3),[TREND](https://pmc.ncbi.nlm.nih.gov/articles/PMC8301647/), [GRAPE](https://www.nature.com/articles/s41597-023-02424-4), [MESSIDOR](https://deepblue.lib.umich.edu/data/concern/data_sets/3b591905z), [MAGRABIA](https://deepblue.lib.umich.edu/data/concern/data_sets/3b591905z), [PAPILA](https://www.nature.com/articles/s41597-022-01388-1), [MBRSET](https://physionet.org/content/mbrset/1.0/), [AV-WIDE](https://people.duke.edu/~sf59/Estrada_TMI_2015_dataset.htm) and ENRICH. ENRICH is a new dataset collected for this study, consisting of 111 retinal fundus images. AV-WIDE, which initially contained only skeletonized vessels, was reannotated to include complete vessel segmentations."}