In order to try and get an accurate model of all cheeses in existance (over 4000, apparently) you would then need roughly 10,000 images of each cheese to ensure the model really knew the small differences between each cheese.
We trained Cheezus on 10 initial cheeses which took over 9000 images. We now have over 150 cheeses on the database, but it’s still only learning all of these.
It will take time for the machine learning to learn every cheese in the world, but that’s where we need our cheese lovers to help. Take as many pictures as you can of a cheese, any cheese; if Cheezus doesn’t recognize it, simply correct it and submit.
Every time you do, Cheezus learns.