YOLO: Open source real-time image recognition

YOLO: Open source real-time image recognition

For those of you who are looking to play around with image recognition in your UAS projects, there’s an open source real-time image recognition system for that. I am not sure yet how well this would work at longer distances with smaller images when capturing footage from a flying platform but could be interesting. I wonder if SAR and related ops could perhaps benefit from such an open source project. Gene?

From Joseph Redmon’s (one of the creators) website: “You Only Look Once (YOLO) is a state-of-the-art, real-time object detection system. On a Titan X it processes images at 40-90 FPS and has a mAP on VOC 2007 of 78.6% and a mAP of 48.1% on COCO test-dev.”

Joseph’s recent TED talk on the system is well worth a watch:

And another one where it appears as though they are speed testing the recognition by letting it run on top of a James Bond action scene:

You can find the project’s paper, YOLO9000: Better, Faster, Stronger – by Joseph Redmon & Ali Farhadi on the Cornell University Library site: arxiv.org/abs/1612.08242

Or download it direct arxiv.org/pdf/1612.08242.pdf.

Joseph’s website has instructions for getting the system running: pjreddie.com/darknet/yolo/

Tiaan Roux

CIO, sUAS News | "My interest in UAS began in 2006 in the Masai Mara, Kenya where I was working as a bush pilot and met Gary Mortimer. I have always loved computers, maps, aerial photos and any kind of flying thing so the UAS addiction quickly took hold. Since then my interest in these technologies has grown from just an interest to building and flying small UAS as well as getting involved with sUAS News."