OBJECT DETECTION BY USING YOLOV4 IN PYTHON

The YOLOv4 (You Only Look Once, version 4) technique is used in this work to demonstrate an effective objectidentification implementation in Python. Real-time object detection model YOLOv4 is well-known for itsquickness and precision, which makes it appropriate for uses in smart gadgets, autonomous systems, andsurveillance. The system uses a pre-trained model based on the COCO dataset and is built in Python withassistance from tools like OpenCV and NumPy. In order to identify numerous item classes with bounding boxesand confidence scores, the YOLOv4 deep neural network is used to process input photos or video stream