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This video tutorial guides us on preparing a custom yellow v5 object detection data set for training. It covers the yolo v5 data set format, data set preparation, and best practices. To begin, we define three classes: cat, dog, and person with label zero, one, and two, respectively. Images with these classes are needed, including some without any. It is advised to have a small percentage of such images to reduce false positives. The number of images required depends on the class differences - a few hundred for distinct classes and a few thousand for similar ones like dog breeds.