Efficient Object Recognition and Tracking are main challenging assignments in computer vision techniques. A very
big challenge in many object detection techniques using deep learning may lead to slow and non-accurate performance. This
Project Aims to detect and tracking of objects efficiently and accurately in real time .Detecting any object is important in
understanding object activities. Here we completely used deep learning networking techniques .The network is trained on most
used and challenging dataset COCO. The result is very fast and accurate where object recognition is required.
