Using SURF to Improve ResNet-50 Model for Poultry Disease Recognition Algorithm

• Main Authors: Quach, L.-D., Quoc, N.P., Thi, N.H., Tran, D.C., Hassan, M.F.
• Format: Conference or Workshop Item
• Published: Institute of Electrical and Electronics Engineers Inc. 2020
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097530046&doi=10.1109%2fICCI51257.2020.9247698&partnerID=40&md5=bffdbd4018dc6f2b4b3626d4bdd92be7; http://eprints.utp.edu.my/29865/

ResNet-50 is an architecture of residual network and known to have numerous advantages. However, the application of the model to the poultry domain for identifying chickens' diseases has demonstrated insufficient and overfitting results. This is due to the limitation in the training data set wh...