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In this blog, In this tutorial we'll explore the working of the YOLO model and how it can be used for real-time fire detection using implimentation from Ultralytics [https://github.com/ultralytics/yolov5]. We will use transfer-learning techniques from P5 models (P5 models are model supported by ultralytics and differs in architecture and parameter size) to train our own model, evaluate its performances and use it for inference.
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