Advanced Computer Vision Applications

Implement region-based CNNs (R-CNN, Fast R-CNN, Faster R-CNN) for object detection

Implement single-shot detectors (YOLO, SSD) for real-time object detection

Apply non-maximum suppression to refine detection bounding boxes

Implement fully convolutional networks (FCNs) and U-Net for semantic segmentation

Implement Mask R-CNN for instance segmentation

Evaluate object detection and segmentation models using appropriate metrics (mAP, IoU)