My First Project in Computer Vision: Cityscape Semantic Segmentation Using UNet

When I first heard of computer vision, I was only familiar with Object Detection and Classification, but that’s not all there is to Image Semantic Segmentation. Image Segmentation is the process of partitioning a digital image into multiple image segments also known as image regions or image objects (sets of pixels). The goal of segmentation is to simplify and/or change the representation of an image into something that is more representative and easier to analyze. Image segmentation is often used to locate objects and boundaries. <h1>Background</h1> A common problem in many big cities in the world is traffic jams and the high number of accidents. One of the factors that play a major role in the occurrence of this incident is the negligence of the driver. <a href="https://medium.com/@adliaulia16/my-first-project-in-computer-vision-cityscape-semantic-segmentation-using-unet-9d90cb9716b3">Read More</a>