Low Power Image Recognition Competition 2015
Rules and full details at www.lpirc.net
Date
June 7, 2015, competition at the 2015 Design Automation Conference (https://dac.com/) held in San Francisco, CA
Motivation
Many mobile systems (smartphones, electronic glass, autonomous robots) can capture images. These systems use batteries and energy conservation is essential. This challenge aims to discover the best technology in both image recognition and energy conservation. Winners will be evaluated based on both high recognition accuracy and low power usage.
Image Recognition
Image recognition involves many tasks. This challenge focuses on object detection, a basic routine in many recognition approaches. The following example illustrates the task. There are several objects: cars, persons, motorcycle, and a helmet. The training and validation data for LPIRC comes from the ImageNet Large Scale Visual Recognition Challenge detection competition. The test data will be specific to LPIRC.
Prizes:
- The champion will receive $1,000.
- The second prize is $500.
- The third prize is $200.
- The prize for the least energy with high accuracy (at least one standard above the average) is $200.
- The prize for the highest accuracy with low energy (at least one standard below the average) is $200.
- Each winner will also receive one GPU card donated by Nvidia.
How are scores calculated?
The score has two parts: the accuracy in image recognition and the energy consumption.
Sponsors:
IEEE Council on Superconductivity
IEEE Council on Electronic Design Automation,
Nvidia
