Object Detection and Identification Using Deep Learning and OpenCV

Abstract

Abstract: In recent years, deep learning has had a significant impact on “how the world is adjusting to artificial intelligence”. Region-based Convolutional Neural Networks (RCNN), Faster R-CNN, Single Shot Detector (SSD), and You Only Look Once (YOLO) are a few of the well-known object identification techniques. When speed is prioritized above accuracy, YOLO outperforms others, with Faster-RCNN and SSD having greater accuracy. In order to execute detection and tracking efficiently, deep learning blends SSD and Mobile Nets. This method detects objects effectively without sacrificing speed.