A vision transformer is a type of neural network that can be used for image classification and other computer vision tasks. Here’s what you need to know.
Non-maximum suppression (NMS) is a post-processing technique that is used in object detection tasks to eliminate duplicate detections and select bounding boxes.
Few-shot learning allows us to feed AI models a small amount of training data from which to learn. Here’s how few-shot learning works and why it’s important.
Computer vision is a field of artificial intelligence (AI) that trains computers to see, interpret and understand the world around them through machine learning techniques
