Computer Vision (CV) - An Overview
Computer Vision (CV) enables machines to interpret and understand visual data from the world. It is widely applied in tasks such as object detection, image classification, and facial recognition.
Computer Vision (CV) enables machines to interpret and understand visual data from the world. It is widely applied in tasks such as object detection, image classification, and facial recognition.
This post explores Convolutional Neural Networks (CNN), a specialized neural network architecture widely used for tasks involving image processing and computer vision.
YOLO (You Only Look Once) is a popular deep learning algorithm for real-time object detection that divides images into grid cells and predicts bounding boxes and class probabilities for each cell.