That's a good point, but we are a long way away from an automated general object recognition system. This discounts occasional outliers such as obvious objects which take up the whole page, or ones that are clearly visible against a gradient-less background (both of which can be pruned).
Currently, we are validating inputs from a human written database, which is continuously being expanded with new user inputs and new images. One image is used for validation, and the other is used for expanding the pool.
Currently, we are validating inputs from a human written database, which is continuously being expanded with new user inputs and new images. One image is used for validation, and the other is used for expanding the pool.