Description

Object Recognition using OpenCV

In this project, Object recognition is done by the Pre-trained model MobileNet for recognizing the object with more than 95% accuracy. The model is trained with more than lakhs of images to recognize the object. An object such as Person, chairs, TV Monitor, etc. 

In this proposed method, module to load a pre-trained object detection network.This will enable us to pass input images through the network and obtain the output bounding box (x, y)-coordinates of each object in the image.

We tend to use YOLO as this algorithm is much faster than other algorithms.Among that Convolutional Neural Network is used with pre-trained model MobileNet to recognize the object with more accuracy at real-time.