I have two cameras to capture images for training keypoint detection and semantic segmentation model. One camera has smaller field of view and the other has larger field of view. Let's say, I capture two sets of data using both the cameras and train the model on each set of data. Will the two models have same performance? If not, how the field of view affects the performance of the model?