Primate Recognition System Design Based on Deep Learning Model VGG16

Abstract

The study of primate recognition is of great significance to the survival of primates. Nowadays, animal classification system plays an indispensable role in primate classification and species research. China has a vast territory, there are a variety of rare primates, such as: golden monkey, white-headed langurs, macaques, etc., the primate recognition system mentioned in this paper provides convenience for the classification and recognition of primates. Artificial visual recognition not only has a high error rate, but also fails to recognize primate photos that have lost most of their details. Primate recognition systems can also accurately recognize and classify images that have lost most of their details. This paper is based on VGG16 deep learning network development, detailed neural network training and call process, and neural network recognition accuracy and loss function are analyzed, and use PyQt5 and QT Designer for visual interface design, to better realize human-computer interaction. The design is completed and the system is tested and the results are analyzed.