Deep Learning Methods for Computer Vision Can Achieve the Desired Analytical Results
First, let’s understand what Computer Vision is. It is a branch of Artificial Intelligence (AI) that enables machines (computers) to extract vital information from images, texts & videos for creating data sets. This is basically required to train machine learning models, so that they’re able to perform the task of data labeling or data annotation, without any external. But in some exceptional cases, human intervention is required for labeling critical data sets that machines do not understand or are able to segregate. Here, ‘Deep Learning’ has proved to be a game-changer in the exclusive domain of Computer Vision. It is primarily used to teach computers to precisely analyze and view any environment in a similar manner, as humans do. Such high-end AI based applications are required in the fields of robotics engineering, self-driven cars, traffic management, homeland security, data analysis, product advertising, aerospace, healthcare, merchandise segregation, etc. Therefore, it...