Fine-Tune YOLO for Fire Detection

Learn how to build a real-time fire detection system using computer vision. In this step-by-step tutorial, we fine-tune a YOLO model on a custom dataset to detect fire instantly using only a camera — no smoke alarms or heat sensors required. 🚀 You’ll discover how to: - Create and annotate a fire detection dataset - Convert annotations into YOLO format - Train a YOLO segmentation model for fire detection - Run inference on images and videos for real-time fire detection Resources: Notebook: https://github.com/Labellerr/Hands-On-Learning-in-Computer-Vision/blob/main/fine-tune%20YOLO%20for%20various%20use%20cases/Fine-Tune-YOLO-for-Fire-Detection.ipynb Labellerr GitHub: https://github.com/Labellerr/Hands-On-Learning-in-Computer-Vision #FireDetection #YOLO #ComputerVision #DeepLearning #MachineLearning #AI #FireSafety #ImageProcessing #RealTimeDetection #ObjectDetection #YOLOv8 #CustomDataset #AIForSafety #OpenCV #ArtificialIntelligence