Experts believe autonomous vehicles will substantially improve road safety. Discover how large, diverse and accurate datasets are enabling this vision.
Learn how computer vision will play a vital role in transforming the metaverse into a commercially accessible reality for brands across industries.
Driver monitoring systems (DMS) are proving to be effective in helping prevent accidents due to driver drowsiness or inattention. Learn all about these AI-backed systems.
Explore what is involved in the collection and labeling of training data that is used to build computer vision models.
Video annotation enriches video data by adding object information tags across every frame. Discover different video annotations, their popular computer vision applications and the benefits of video labeling automation.
Discover a robust guide to image segmentation, a data labeling technique used to segment object pixels to train computer vision models
Uncover the history of computer vision, deep learning and neural networks, and learn how their developments could meaningfully impact businesses and society as a whole.
Humans and animals use their eyes to see the world around them; computer vision is the science that aims to give a similar skill to machines. Learn how in this overview.
Discover the difference between CNN and RNN and how they are used in computer vision and natural language processing.
Discover the most common types of image annotation for computer vision AI to help you pick the right tools and resources for your projects.
Facial recognition is a field within AI and computer science that seeks to give machines the ability to interpret human faces. This beginner’s guide explains types of face recognition processes, how they work, various applications and how accurate they are today.
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