Object Detection With High Vision

Abstract

Machine learning using High Vision with detection is the branch of the science of computers and software systems which can recognize and get to know the images and scenes very well. Computer Vision is consisting of various things like as image recognition, image generation, object detection, image super-resolution and much more. Object detection is being widely used for detecting face, vehicle detection, pedestrian counting, web images, security systems and selfdriving cars. In this project, we are working with Python Programming Language and it uses Machine Learning Libraries like TensorFlow, Keras, OpenCV and Numpy on backend. It implements the State-Of-The-Art Algorithms like YOLOv4, TinyYOLOv4, CDCL, MaskRCNN, and DeepLabv3+ to recognize objects. This project can detect the various objects in the input video and in the real time as well and can also provide an output video having the objects highlighted.