Computer Vision Models Power Advanced Applications

Computer vision uses algorithms to help cameras understand the real world. There are four main types of models used in most computer vision applications.

Classification

Object Detection

Semantic Segmentation

Instant Segmentation

Are there people? Yes

Classification

Classification is important for computer vision. It means labeling objects in a picture (like cat, dog, or bicycle). It doesn’t show where the objects are, just what they are. It’s like holding up a card and asking if there’s a dog in the picture. Classification is the easiest type of computer vision and is good for things like checking if someone is in a room.