Ben Chugg

Affiliation

Stanford RegLab, Stanford, CA, USA

Topic

Aerial Images,Agricultural Census,Artificial Neural Network,Aspect Ratio,Background Class,Convolutional Neural Network,Department Of Agriculture,False Positive,False Positive Predictions,Filtering Step,Image Classification,Image Segmentation,Intersection Over Union,Learning Rate,Multispectral Images,National Map,Object Detection,OpenStreetMap Data,Outside Of Range,Poultry Operations,Rank-order Correlation,Road Network,Semantic Segmentation,Spearman Rank-order Correlation,Training Area,Training Data,Training Set,Validation Data,Validation Set,

Biography

Ben Chugg received the B.Sc. degree in mathematics and computer science from the University of British Columbia, Vancouver, BC, Canada, in 2018, and the M.Sc. degree in mathematics and theoretical computer science from Oxford University, Oxford, U.K., in 2019. He is currently working toward the Ph.D. degree with Carnegie Mellon University, Pittsburgh, PA, USA.
His is currently the Lead Research Analyst with Stanford's RegLab, Stanford, CA, USA.