Counting Number of Objects in Images Using Machine Learning

The advancements in technology have led to a comfortable life. Technology is getting advanced in the pixel world too. Image capturing is getting enhanced in every domain, be it private security cameras or government surveillance. The clarity of image has become a necessity for so many things. For e.g., if someone breaks a traffic law the image is captured by the camera and sent to the department. There can be more use case scenarios for this paper like in the case if a complaint is received of a traffic jam for more than 2-3 hours then a proper analysis can be done with the image provided as to what exactly is the number of cars being stuck in the traffic and also it will help in finding what is the main cause of the traffic jam and at what level is the cause being held at the situation. In this paper the work is done in the same domain of computer vision which is a field of computer science that focuses on enabling computers to identify and understand objects in images and videos. We are going to use cv library in python domain to detect images and we are going to use more libraries like matplotlib for graphical representation. In this paper we will detect the objects and tell the number of objects present in the image which will help us in many fields works.