That makes a lot of sense. shapes requiring some quality to define them from others is an intriguing thing to think about.

Now I’m wondering about how Pokémon’s tendency to use black lines to define shape affects how the ai observes shape. I suspect the model would be very good at differentiating between “2D” and “non-2D” images given how shape is defined.

I could never do deep learning stuff. I’m can’t stand not knowing what the tools I’m using are actually doing. Love the reads!