Flame Detection in Images - Live Project
I completed a live project on flame detection in images. This project involved developing and implementing a computer vision solution to detect flames in real-time image data. Key responsibilities and achievements: - Worked on image annotation and bounding box creation for flame detection dataset - Used YOLO algorithm for object detection to identify flames in images - Prepared and labeled training data for the machine learning model - Successfully completed the project from start to finish, delivering a working flame detection system - Ensured high accuracy in detection through careful data labeling and model training The project required expertise in computer vision, image processing, and object detection algorithms. This was a complete end-to-end project that I successfully delivered.