ITDS | SPMS

WILDFIRE IMAGE SEGMENTATION USING YOLOV8

Project Description
Supervisor

Wildfires pose a tremendous threat to ecosystems, property, and human lives, thus early detection is crucial for appropriate action. This study investigates the application of the You Only Once, version 8 (YOLOv8) object detection model for real-time wildfire recognition. YOLOv8 was trained and tested on a dataset of both wildfire and non-wildfire images, and its performance was evaluated using key metrics such as accuracy, recall, F1-score, mean Average accuracy (map), and inference time. The precision reaches 1.00 at a confidence threshold of around 0.844. When the confidence criterion exceeds 0.3, the recall decreases to almost zero, indicating that the model is missing most positive examples. The test results show that the YOLOv8 model has a strong potential for usage in automated wildfire detection systems based on security cameras, drones, or satellite photography. Future improvements, such as enhancing the model’s detection of smaller fires and reducing false positives, may increase its use in preventing wildfire damage.

Artificial Intelligence: Artificial Intelligence (AI) research in Computer Science and Information Technology explores the development of systems and algorithms that can perform tasks typically requiring human intelligence. These tasks include problem-solving, decision-making, learning, perception, and language understanding. AI research is a vast and interdisciplinary field, encompassing a variety of areas such as machine learning, natural language processing, computer vision, robotics, and cognitive computing. Machine learning (ML) is a core component of AI research. It focuses on creating algorithms that allow computers to learn from data, improve over time, and make predictions or decisions without explicit programming. Subfields of ML include supervised learning, unsupervised learning, reinforcement learning, and deep learning, with applications ranging from image recognition to recommendation systems. Natural language processing (NLP) is another critical area within AI research. It aims to enable machines to understand, interpret, and respond to human language. Researchers in NLP work on tasks like speech recognition, language translation, and sentiment analysis, making it possible for computers to interact with humans in a more natural and intuitive way.