10.7910/DVN/N7GJYUG.J. Frankeprofile/Gj-Franke-2Wageningen University and Research CentreSander MucherSanderMucher0000-0002-7997-8356Wageningen University and Research CentreHarvard Dataverse2021Agricultural SciencesComputer and Information ScienceOtherDeep Learning, Cows, GenTORE, Aerial Images, Pascal VOC, AnnotatedG.J. FrankeWageningen University and Research Centre2021-05-312021-05-3110485760001048576000104857600010485760001048576000104857600010485760001048576000104857600010485760001048576000104857600010485760001048576000104857600010485760001048576000104857600010485760001048576000104857600010485760001048576000104857600010485760001048576000104857600010485760001048576000836647473application/octet-streamapplication/octet-streamapplication/octet-streamapplication/octet-streamapplication/octet-streamapplication/octet-streamapplication/octet-streamapplication/octet-streamapplication/octet-streamapplication/octet-streamapplication/octet-streamapplication/octet-streamapplication/octet-streamapplication/octet-streamapplication/octet-streamapplication/octet-streamapplication/octet-streamapplication/octet-streamapplication/octet-streamapplication/octet-streamapplication/octet-streamapplication/octet-streamapplication/octet-streamapplication/octet-streamapplication/octet-streamapplication/octet-streamapplication/octet-streamapplication/octet-streamapplication/octet-streamapplication/octet-stream1.0CC0 1.0A 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.