Creating an Animal Identifier Model by Deep Learning

Abstract

This paper attempts to make a YOLOv3 model which can detect and identify animals. YOLOv3 is a deep-learning technique for object identification. Suppose, there’re many animals in a place. When the picture of the animals are converted as picture data and then, if the researcher input that picture data in the research model and searches for a cat from that picture data and if there’s a cat in that picture data then the research model, the YOLOv3 model can identify and identify the cat from that picture data easily. The research model, the YOLOv3 model will do the same for other animals too. So, the researcher makes a model which can identify animals and show which animal it is by using a deep-learning algorithm called YOLOv3.