Vehicle Detection and COUNTING System Using YOLOv7

YOLO v7 ( You Look Only Once ) is machine learning model used mainly for object detection from image or videos. The object is detected from the input file and the bounding boxes are created by the YOLO v7 model by the custom dataset of 3 classes (Car, Bike, Heavy Truck) and the separate txt file is generated by the model by using the txt file we can able to count the number of vehicle present in the input file image or video. The count of the vehicle is calculated from the input file this count is actually calculated because in a highway lane the maintenance of road is not maintained by the government properly and the unmaintained road leads to many accidents and injuries to public. So to reduce the road accidents and injuries to public this model is created which will indicates about how many vehicles is been crossed from a particular road is calculate and it will intimate the government road public safety to maintain the road in particular time