Evaluating Image Segmentation Models

<h1>What is Image Segmentation?</h1> Image Segmentation is the process of partitioning a digital image into different image classes or objects. This is a very important part of self-driving cars as correctly detecting what objects are in front of the car and where they are located are critical inputs to the self-driving algorithm. <img alt="" src="https://miro.medium.com/v2/resize:fit:700/1*Lj0Rbpj1MdA3UoYiDGwNlg.png" style="height:294px; width:700px" /> Example output of an image segmentation program. The image segmentation model is created through a neural network that takes in a given Ground Truth. The ground truth is a correctly labeled image that tells the neural network what the expected output is. <a href="https://towardsdatascience.com/evaluating-image-segmentation-models-1e9bb89a001b">Visit Now</a>