Interesting work on image recognition


A smart-object recognition algorithm that doesn’t need humans


"Lee and his students fed their object recognition program four image datasets from CalTech (motorbikes, faces, airplanes and cars) and found 100 percent accurate recognition on every dataset. The other published well-performing object recognition systems scored in the 95–98% range.

The team has also tested their algorithm on a dataset of fish images from BYU’s biology department that included photos of four species. The algorithm was able to distinguish between the species with 99.4% accuracy."


Really an interesting link.

Thanks for sharing.


This looks really cool! We've always talked about integrating computer vision. Maybe this would be a good group to reach out to!