With the development in the field of computational machines, computer vision is one of the rapidly growing domains in the most recent decade. Advance neural networks especially deep learning has played significant role in this. The applications of object detection ranges from video surveillance to self-driving cars makes this one of the most researched topics in recent times. In this paper we are more concern about object detection using image processing with the help of Tensorflow and compare results of the two most widely used algorithms i.e. SSD (Single short detector) and Faster R-CNN (Faster region based convolutional neural networks).