Comparative Study on Image Detection using Variants of CNN and YOLO
Shilpa Dixit, Nitasha Soni · 2022 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COM-IT-CON) · 2022
Deep learning has enabled a variety of detection methods, such as text identification and recognition, picture extraction, visual-action detection, and object movement detection, to be implemented in a single algorithm. Machine Learning, a popular contemporary trend, employs the concept of Artificial Neural Networks (ANN). Because of biological computational models, the performance and processing speed of many different types of Artificial Intelligence have increased. Convolutional Neural Networks (CNNs) are a form of Artificial Neural Network design (ANN). CNN's major goal is to reduce the complexity of image-based pattern recognition to a design that can always support artificial neural networks. Some CNN versions that illustrate how objects are discovered. This paper gives a quick introduction of how CNN works and the main components that help with image refining and feature extraction.