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YOLOv5 real-time object detection and image segmentation for damaged building opening detection

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Towards Fully Autonomous UAV: Damaged Building Opening Detection for Outdoor-Indoor Transition in Urban Search and Rescue

Authors

Ali Surojaya, Ning Zhang, John Ray Bergado, Francesco Nex

Introduction

This repository contains the dataset and source code of our damaged building opening detection paper.

result

Dataset and Pre-trained Model

We provide the dataset of damaged building opening. You can use them to fine-tune your own damaged building opening detection.

Damaged building opening dataset: download here

Pre-trained damaged building opening detection model: YOLOv5-MTL, YOLOv5single

Training and Prediction

We documented the training process and prediction workflow on Google Colaboratory (YOLOv5_MTL_Project.ipynb).

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YOLOv5 real-time object detection and image segmentation for damaged building opening detection

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