<?xml version='1.0' encoding='UTF-8'?><metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns="http://dublincore.org/documents/dcmi-terms/"><dcterms:title>Annotated cows in aerial images for use in deep learning models</dcterms:title><dcterms:identifier>https://doi.org/10.7910/DVN/N7GJYU</dcterms:identifier><dcterms:creator>G.J. Franke</dcterms:creator><dcterms:creator>Sander Mucher</dcterms:creator><dcterms:publisher>Harvard Dataverse</dcterms:publisher><dcterms:issued>2021-05-31</dcterms:issued><dcterms:modified>2021-05-31T10:22:43Z</dcterms:modified><dcterms:description>A large dataset containing aerial images from fields in Juchowo, Poland and Wageningen, the Netherlands, with annotated cows present in the images using Pascal VOC XML Annotation Format. This dataset has been used to train various Deep Learning models (nanonets, yolov3 and the like) as part of the GenTORE project (&lt;a href="https://www.gentore.eu/" target="_blank">https://www.gentore.eu&lt;/a> )

Please download all the files, then use 7-zip to unzip the multi part archive.</dcterms:description><dcterms:subject>Agricultural Sciences</dcterms:subject><dcterms:subject>Computer and Information Science</dcterms:subject><dcterms:subject>Other</dcterms:subject><dcterms:subject>Deep Learning, Cows, GenTORE, Aerial Images, Pascal VOC, Annotated</dcterms:subject><dcterms:date>2021-05-31</dcterms:date><dcterms:contributor>Janssen, Sander</dcterms:contributor><dcterms:dateSubmitted>2021-05-31</dcterms:dateSubmitted><dcterms:license>CC0 1.0</dcterms:license></metadata>