Engineering & simulationobject detection computer vision model
Glacier trained a neural net on hundreds of thousands of manually tagged images of trash on conveyor belts to identify and classify recyclable items like bottles and cans for robotic sorting.
“we take 100s of 1000s of images of trash on conveyor adults … we manually tag those images … feed that to the model. It can then be trained on that. So if it's seen a 1000 water bowels for odds are, if you show it in a 1000 and 1st it'll be able to identify without hitter seeing it before.”
Speaker 2 · Hear it at 26:10