Stroke Object Detection with Deep Learning and Computer Vision

My project calculates the image classification and object detection system for stroke high-resolution photos. Many different techniques are attempted and documented. TensorFlow and PyTorch are the main libraries used in calculating the classification algorithm. Furthermore, YOLO version four is used to calculate the weights for an object detection system. The objective is to optimize the metrics of a classification algorithm for stroke images and create a functional object detection system.