A. The size of HOG features depends on the parameters used in the feature extraction process, such as cell and block sizes. Generally, larger cell and block sizes will result in larger HOG features, while smaller sizes will result in smaller features. The size of the HOG features can impact the performance of machine learning models. Choosing appropriate parameters for the feature extraction process is important in object detection and recognition tasks.