Image recognition, Machine learning, Modules, Keras libraries, Deeper neural networks
In this research paper, we will look at image recognition notion and its use in Face Detection, Google lens, etc. Image recognition is the procedure of recognizing and detecting an object in a digital image. Also, we will look at a very small image recognition model and see how difficult it is to make our very own image-recognition model. The image-recognition technique is used in various sectors like security surveillance, toll booth monitoring and self-driving cars but in my eyes its most productive use is in language detection and translation to make easier communication between people. Image recognition is a part of computer vision and a process to identify and detect an object or attribute in a digital video or image. Computers can use machine vision technologies in combination with a camera and artificial intelligence software to achieve image recognition. Computer vision is a broader term which includes methods of gathering, processing and analyzing data from the real world. It becomes very difficult for people who travel in different countries to communicate with locals, this is a huge advancement if we could just take a photo and the machine recognizes and translates the language. The extraction of image features is one of the fundamental tasks in image recognition.