10.7910/DVN/N7GJYU G.J. Franke Wageningen University and Research Centre Sander Mucher Sander Mucher Wageningen University and Research Centre Harvard Dataverse 2021 Computer and Information Science Other Agricultural Sciences Deep Learning, Cows, GenTORE, Aerial Images, Pascal VOC, Annotated G.J. Franke Wageningen University and Research Centre 2021-05-31 2021-05-31 1048576000 1048576000 1048576000 1048576000 1048576000 1048576000 1048576000 1048576000 1048576000 1048576000 1048576000 1048576000 1048576000 1048576000 1048576000 1048576000 1048576000 1048576000 1048576000 1048576000 1048576000 1048576000 1048576000 1048576000 1048576000 1048576000 1048576000 836647473 1048576000 1048576000 application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream 1.0 Creative Commons CC0 1.0 Universal Public Domain Dedication. 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 (<a href="https://www.gentore.eu/" target="_blank">https://www.gentore.eu</a> ) Please download all the files, then use 7-zip to unzip the multi part archive.