Computer Vision
Image filtering, edge detection, Convolutional Neural Networks (CNNs), object detection (YOLO), and image segmentation architectures.
Image representation, spatial filtering (Gaussian, Sobel), Canny edge detection, and Hough transforms.
Digital Image Fundamentals & Classical Vision
Image representation, spatial filtering (Gaussian, Sobel), Canny edge detection, and Hough transforms.
Convolution operations, stride, padding, max pooling layers, ResNet skip connections, and feature maps.
Convolutional Neural Networks (CNNs) Mechanics
Convolution operations, stride, padding, max pooling layers, ResNet skip connections, and feature maps.
Bounding box regression, R-CNN family, YOLO real-time object detector architecture, and IoU metric.
Object Detection & Real-Time Tracking Models
Bounding box regression, R-CNN family, YOLO real-time object detector architecture, and IoU metric.
U-Net architecture for medical segmentation, Mask R-CNN, and vision transformer (ViT) models.
Semantic & Instance Segmentation Architectures
U-Net architecture for medical segmentation, Mask R-CNN, and vision transformer (ViT) models.