Is it good idea to crop small objects of interest in huge images to train with fast-RCNN or directly use the huge images for training?

Question

I am interested in object detection/segmentation using tensorflow/keras and fast-rcnn. Here, I am trying to understand how to proceed with training of images(2GB to 5GB imag