ANIMAL DETECTION AND CLASSIFICATION SYSTEM

Student: Adam Dikko Muhammad
Supervisor: Mr Rasheed O Falowo
HOD: Mr David Tayo Oladifo
Department of Computer Science
Science and Technology
Federal Polytechnic, Damaturu, Yobe State

Abstract

This project presents the development of a Animal detection and classification system using advanced machine learning techniques, specifically focused on recognizing 0f animals. Leveraging convolutional neural networks (CNNs) and data augmentation, the system is designed to identify animals accurately under diverse environmental conditions. This work highlights the potential of machine learning in animal identification, contributing valuable insights for applications in wildlife conservation, pet management, and ecological research.

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