object detection with yolo

Overview: This project focuses on leveraging YOLO (You Only Look Once), a state-of-the-art deep learning algorithm for real-time object detection, to detect objects in images using the COCO (Common Objects in Context) dataset. YOLO is a popular choice for real-time detection due to its speed and accuracy. The COCO dataset is a large-scale dataset that contains over 330,000 images with 80 object categories, making it an ideal dataset for training and evaluating object detection models.