Although computer vision and image processing seem close to each other, they are actually different concepts.

Image labeling is a very important step in the development of computer vision models.

Panoptic segmentation is a computer vision function that combines both semantic and instance segmentation.

People Counting / Store Density Map / Vandalism Recognition / Crowd Counting

In today's defense industry, computer vision solutions have begun to be used, especially in autonomous weapons and unmanned aerial vehicles.

Businesses carry out zero error studies to reduce production costs due to competition in difficult global trade conditions.

Artificial intelligence solutions, which underpin digital transformation and Industry 4.0, will shape business futures.

Instance segmentation and semantic segmentation are two important tasks in computer vision. Here's a more detailed explanation of the...

Although Image Processing and Computer Vision are different concepts, they work together in many areas.

Computer Vision is a general term used for the ability of computers and artificial intelligence to see what humans see.

AI and CV are revolutionary technologies that optimize production processes and boost production efficiency and quality.

Image thresholding is a type of image segmentation that divides the foreground from the background in an image.

There are many complex terms used in the world of computer vision. One of these terms is "Mean Average Precision"or "mAP" for short.