Definitive Guide to Computer Vision in AI
Artificial intelligence (AI) has risen from a fringe concept in sci-fi to one of the most influential technologies conceived. Building systems that can understand visual information has been a cornerstone of AI research and development. This allows machines to ‘see’...
Semantic Segmentation for Computer Vision Projects Explained
Semantic segmentation is an image-labeling technique to create data for supervised computer vision (CV) models. In its simplest terms, the objective is to assign a class label to each pixel in an image. For example, if you’re labeling a cat...
How to Source Data For Computer Vision Projects
Data is one of the most valuable resources on the planet today. The World Economic Forum estimated that his seemingly intangible resource was worth some $3 trillion in 2017. The machine learning market specifically is expected to grow from $22.17 billion...
Guide to Video Annotation for Computer Vision
As a subcategory of data annotation, video annotation is used in training AI models and improving their accuracy. But what exactly is video annotation and how does it work? In this comprehensive guide, we will dive into the world of...