Browsing by Author "1911331642"

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    Leveraging YOLOv5 Object Detection on Satellite Imagery: A Comprehensive Building Damage Detection and Severity Assessment System for PostDisaster Environments
    (North South Univesity, 2023) Abdullah Hel Asif; Shafin Ahmed Zidan; Dr. Shahnewaz Siddique; 1911331642; 1912891042
    Leveraging YOLOv5 Object Detection on Satellite Imagery: A Comprehensive Building Damage Detection and Severity Assessment System for Post- Disaster Environments Natural disasters are a plague that has haunted life on Earth from the beginning of time. Whenever a natural disaster occurs first responders and aid workers always have to put their lives on the line to save the ones in need. The basis of our work is the creation of a system that can detect and analyze the severity of damage on post-disaster environments caused by natural events. Our Deep Learning based system is able to recognize damaged buildings and surrounding areas caused due to earthquakes, floods, etc. from satellite images and simultaneously assign a damage severity rating to it. We have made the use of the YOLOv5 model based on PyTorch as the backbone of our system. Our project will allow the first respondents and aid workers in question to efficiently distribute their resources and provide help based on degree of severity of damages in the event of a natural disaster.