Wildlife surveillance using deep learning with YOLOv3 model

Identifying an animal is not so easy task because there are many different types of animals which look alike and classifying each animal is difficult. Which made us to create a model called YOLOv3. When the user is in need to find an animal, this YOLOv3 model helps that user to find the respective animal's name in an easy manner by just looking at the picture that the user has given. This research work has used the darknet algorithm, which has a pretrained dataset in YOLOv3 model. The model itself works on various ways by training and testing of a picture in the dataset. The goal is to use the YOLOv3 model in finding the animal in a smipler method. First, the input image of an animal is given and on the input image itself it gives the output as in, the name of the animal using this YOLOv3 model. The present study discusses about the state of species-specific activitiy by using the form of still image.