I am new to machine learning. I've been messing around with NVIDIA Digits to train a new dataset. My dataset however is too inaccurate and I think it is because there is too much background in the image that it is getting confused as to what the actual object is. My question:
Is there a way (possibly using RCNN) to crop out the background and then proceed to train using the cropped image? The object is consistent (ex only one object like a singular person but there may be people in the background) and always by itself.