Unified Image Mastery : An Integrated Approach to Image Enhancement, Object Detection and Classification

The proposed system integrates YOLOv5 [1] for object detection, CMFNet [2] for image enhancement, and ResNet [3] for image classification into a unified framework for comprehensive image analysis. This integrated approach overcomes limitations of standalone methods, providing a seamless platform for various image analysis tasks. The system demonstrates improved performance in visual quality enhancement, real-time object detection, and accurate image classification across diverse scenarios. The proposed design allows for flexibility and future extensibility, making it adaptable to evolving requirements in computer vision applications.