Computer vision is a field of artificial intelligence and computer science that focuses on enabling computers to interpret and understand visual information from images or videos. It involves developing algorithms and models to extract meaningful information and make inferences from visual data.
This competency area includes an understanding of the concepts of generative adversarial networks and image segmentation.
Generative Adversarial Networks (GANs) - Understanding the basic concepts of GANs to generate highly realistic and novel data samples.
Image Segmentation - Knowledge of segmentation models such as U-Net to divide an image into segments or regions based on similarities in pixel values.