I want to compare training object to real time appearing object and detect the damaged parts and missing parts from the real time appearing object. Deep learning is used to object detection and classification. so, many sample images are needed for image classification but I am having only one real object and one fake object. In future if some part of the object is missing it should intimate the object is fake and locate the missing area.with this scenario how to classify the real and fake objects. Give any idea to solve this.