YOLOv12 Custom Object Detection | Fire and Smoke Detection

YOLOv12 Custom Object Detection (Fire and Smoke Detection) In this video, I walk you through the step-by-step training of YOLOv12 for custom object detection, using a fire and smoke detection dataset. YOLOv12 is the latest real-time object detection model, and here we apply it to a practical use case: detecting fire and smoke to improve safety and monitoring systems. 📌 Complete Code & Dataset: :https://github.com/AarohiSingla/YOLOv12/blob/main/yolov12_fire_detection.ipynb Dataset: https://universe.roboflow.com/ghulam-ishaq-khan-institute-3qit1/forest-fire-detection-fis51/dataset/9 If you have any questions or need further assistance, feel free to contact me at aarohisingla1987@gmail.com. 📌 What You’ll Learn in this Tutorial: ✅ What custom object detection is and how it differs from pre-trained models ✅ How to prepare a dataset for YOLOv12 ✅ How to train YOLOv12 on a custom dataset (step by step) ✅ How to test and deploy your trained model on unseen images This tutorial is perfect for those interested in Computer Vision, AI Safety Applications, and YOLO models. 📩 For questions or collaborations: aarohisingla1987@gmail.com 👍 Don’t forget to LIKE, COMMENT, and SUBSCRIBE for more AI & Computer Vision tutorials! 🔔 Stay updated with the latest YOLO and AI model tutorials.