Create YOLO Dataset for Custom Object Detection Using OpenCV, PyTorch, and Python Tutorial

Training YOLO with transfer learning Inference notebook (test our model against sample images) This course is an introduction to object detection using YOLO v5 and a datasets of clothing images. We'll explore the YOLO v5 project on GitHub, set up a Google Colab notebook, take a look at a sample image from the dataset, learn how to convert that image to the YOLO darknet format, get familiar with the dataset's file structure, and use transfer learning to train YOLO. We'll also review an inference notebook so we can test our model against sample images.