Training and improving the model

Many considerations should be taken into account when you are training your model based on the images you are using to build the model. Microsoft recommends at least 50 images for training purposes; however, other details need consideration too. These images should be representative of what a user will face when testing against the model that has been built. For instance, when building the model for frozen lobster tail testing, we had to ensure that tail images were representative of what would be captured by the cameras watching the conveyor belts for tail quality detection. For this reason, the images of the tails needed to capture what would be inspected for quality standards as well. We could not use a clump of lobster tails for our training process, as we couldn’t easily identify the distinct characteristics of a typical tail as it was scanned on the production line.

In simple terms, we had to be very selective about which images to choose...