Creating a Bernie Sanders Detector Using YOLOv4 - OpenCV Python - Computer Vision

This course teaches how to create a Bernie Sanders Detector using Scaled YOLOv4, YOLOv5, and OpenCV in Python. The learning outcomes include understanding the process of building, annotating, and augmenting datasets, training models using Google Colab, and deploying the detection model on Android devices. The course aims to enhance skills in computer vision, object detection, dataset annotation, and model training. The teaching method involves practical demonstrations and hands-on training sessions. The intended audience for this course includes individuals interested in computer vision, machine learning, and object detection techniques.