Ever wanted your own Pokédex that detects Pokémon in the wild? Adrian Rosebrock’s might have the answer.
Using deep learning, Adrian Rosebrock is turned a Raspberry Pi into a Pokédex. He trained a neural network to identify Pokémon using a dataset of 1191 Pokémon images. And its accuracy? 96.84%. The build itself uses a Raspberry Pi 3 with camera module attached to a Raspberry Pi 7″ touch display. I’m sure with a bit of ingenuity, someone could 3D print a red chassis but one step at a time.
Adrian has outlined the model’s limitations including colour influencing classifications. This means it’s more likely to be wrong if multiple Pokémon have similar colours. He
Check out a project video below and read more about it on Adrian’s blog.
(via Raspberry Pi)