Computer vision

Computer vision solves many insurance-specific problems, check out the top 6 use cases and learn how to automate underwriting, risk assessment, or insurance claim management.

Read on to learn about computer vision in robotics and relevant use cases across various industries.

Check out our guide on semantic segmentation and its use cases to learn more about how to properly label specific regions of an image.

How computer vision is advancing autonomous vehicles and revolutionizing the automotive industry. Click on this article to read all about it.

We researched all YOLO documentation on the web and put together the most complete article on the history of YOLO and the YOLOv1 algorithm just for you.

In this article, we’ll take SuperAnnotate’s AI solution experts' insights and will turn them into a reusable OCR automation guide just for you.

This article covers the essentials of computer vision in AI drones, types of image annotation for drone training, and popular industries.

Get to know the ins and outs of computer vision in sports, possible challenges and limitations as well as popular sports datasets through this post.

Yet another way computer vision and finance are connected is by taking on risk assessment. Learn about its pros and cons in this post.

Get to know how face recognition works, the difference between face detection and face recognition, common applications, and more.

What are recent computer vision applications in manufacturing and what does the future of AI in manufacturing look like? Check out this post to find out.

Panoptic segmentation is a relatively new type of image segmentation that gives us a granular look at images and real-time videos.