Low-Power Image Recognition Challenge with Jetson TK1

Mark Harris over on the NVIDIA PARALLEL FORALL blog just posted details about the “The new Low-Power Image Recognition Challenge (LPIRC)”. The blog entry is worth the read, it covers Mark Harris’ Jetson TK1 Deep Learning Setup.

The Challenge!

To motivate improved image recognition on low-power devices, Yung-Hsiang Lu, Associate Professor of Electrical and Computer Engineering at Purdue University, and Alex Berg, Assistant Professor of Computer Science at UNC Chapel Hill, are organizing the Low-Power Image Recognition Challenge (LPIRC), a competition focused on identifying the best technology in both image recognition and energy conservation. Registration for the LPIRC is now open.

Marc Hamilton (@markhamilton on Twitter) from NVIDIA noted that

In 2012 Google Brain used 1000 servers and 600KW to show DNN image recognition, new challenge to do it with 12.5W GPU.

Free Jetson TK1 Developer Kit for Participating Teams!

As a sponsor of the LPIRC, NVIDIA is offering a free Jetson TK1 developer kit to participating teams, and each winner will receive an NVIDIA GPU. Go to the blog entry for more details.

What are you waiting for? Go to the blog entry, get signed up, and get to work!

Be the first to comment

Leave a Reply

Your email address will not be published.