Students research accepted to SAVY
Exciting news: the lab had two abstracts accepted at the third annual Symposium on AI in Veterinary Medicine (SAVY3.0), which will be held at Cornell University in May.
Caitlyn Kim will present her poster “A New Benchmarking Dataset of AKC-Registered Dog Breeds for Fine-Grained Image Classification Tasks”, describing the work her team has been doing to build a new dataset of images of dogs with confirmed breed labels. Co-authors include Nora and Frankie.
Elaine Chen is the lead author on the abstract “Differentiating Effects of Neural Network Architecture versus Dataset in Computer Vision’s Dog Breed Identification Problem”, which has been accepted as one of five talks in the session on AI Applications in Companion Animal Health. Co-authors include Glenvelis Perez and Yixuan (Quinn) He.
The teams are looking forward to attending this incredible symposium and sharing their work with the community!
