A. YOLO v7 can be easily trained for object detection on a custom dataset by following our step-by-step guide. The procedure involves the following processes: 1. Preparing the dataset 2. Annotating the dataset 3. Splitting the dataset 4. Creating a custom configuration file 5. Training the model 6. Performing a custom weights inference