You are developing a model to identify traffic signs in images extracted from videos taken from the dashboard of a vehicle. You have a dataset of 100,000 images that were cropped to show one out of ten different traffic signs. The images have been labeled accordingly for model training, and are stored in a Cloud Storage bucket. You need to be able to tune the model during each training run. How should you train the model?

A. Train a model for object detection by using Vertex AI AutoML. B. Train a model for image classification by using Vertex AI AutoML. C. Develop the model training code for object detection, and train a model by using Vertex AI custom training. D. Develop the model training code for image classification, and train a model by using Vertex AI custom training.