Abstract:
One of the most interesting and popular subfields of artificial intelligence is computer vision. Without
even realizing it, you have probably come across and utilized computer vision apps. Computer vision
techniques are revolutionizing industries worldwide, whether it is for electronic deposit picture
processing or crop quality control via image classification. The goal of computer vision is to mimic the
intricate functioning of the human visual system so that a machine or computer can recognize and
process various items in pictures and videos in a similar manner to a human. Computer vision
algorithms are now able to process enormous amounts of visual data thanks to developments in deep
learning, neural networks, artificial intelligence, and machine learning. In certain tasks, such as object
detection and labeling, computer vision algorithms have outperformed humans in terms of speed and
accuracy. Deep learning methods are now mostly applied to computer vision. This study investigates
many applications of deep learning in computer vision
