Welcome to the IEEE Low Power Image Recognition Challenge 

The 2018 IEEE International Low-Power Image Recognition Challenge (LPIRC) has successfully concluded on June 18 in Salt Lake City, co-located with the IEEE Conference on Conference on Computer Vision and Pattern Recognition (CVPR). This is the fourth LPIRC; 21 teams competed in three different Tracks. In total, the teams submitted 131 solutions. LPIRC is the only competition that evaluates computer vision technologies by accuracy, execution time, and energy consumption together. Each team must develop a solution that can identify objects (such as humans, cars, tables) in images and mark their locations in the images. The first track, a new track sponsored by Google, evaluates accuracy and execution time. The second track, sponsored by Facebook, uses the Caffe2 deep learning framework running on NVIDIA Jetson TX2. The third track, unchanged from the first LPIRC in 2015, has no restriction in software or hardware.