I have a large database of images representing the object I want to detect. These images are carefully cropped to the (non-rectangular) outline of my object. However, this means that parts of my positive sample images can be considered "background." Right now, this "background" is black (RGB 0,0,0). Is this the best strategy, or should the "background" regions of my positive image samples be filled with some other value (e.g., white / random noise)?
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