For sure we did! The training data we used for this was purposely highly varied to account for these various factors so they don't cause too much bias in the mo

For sure we did! The training data we used for this was purposely highly varied to account for these various factors so they don't cause too much bias in the model. But there's also an error rate regardless of how good you make it. We keep improving!