"Introducing the IEEE Low-Power Image Recognition Challenge (LPIRC)," a Presentation from Purdue University
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For the full video of this presentation, please visit: http://www.embedded-vision.com/industry-analysis/video-interviews-demos/introducing-ieee-low-power-image-recognition-challenge-lpir For more information about embedded vision, please visit: http://www.embedded-vision.com Yung-Hsiang Lu, Associate Professor at Purdue University, delivers the presentation "Introducing the IEEE Low-Power Image Recognition Challenge (LPIRC)" at the September 2015 Embedded Vision Alliance Member Meeting. Yung-Hsiang describes the objectives and details of the competition, the 2015 LPIRC results, and the upcoming 2016 LPIRC plans.
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"Introducing the IEEE Low-Power Image Recognition Challenge (LPIRC)," a Presentation from Purdue University
- 1. Low-Power Image Recognition Competition (LPIRC) www.lpirc.net Yung-Hsiang Lu, Purdue University Alex Berg, University of North Carolina 1
- 2. Why LPIRC? • Mobile systems are the primary devices for communication and visual data acquisition. • Sending raw images over wireless network may be too expensive (in energy and delay) and image processing on mobile systems desirable. • Visual recognition can enable many applications. • Recharging and replacing batteries is inconvenient. Low Power Image Recognition 2
- 3. Space X Prize DARPA Autonomous Vehicle Why Benchmark / Competition • Assess the state of the art in the field • Competition attracts public attention. • Image recognition competitions since 2010. • LPIRC adds energy Score = Accuracy Energy 3
- 4. Sample Input (identified objects are enclosed by bounding boxes) Person Car Motorcycle Helmet 4
- 5. 5 Correct Answer Reported Bounding Box Correct Detection if Correct ∩Reported Correct ∪Reported > 0.5
- 6. 200 Categories of Objects http://image-net.org/challenges/LSVRC/2015/browse-det-synsets 1. airplane 2. apple 3. banana 4. basketball 5. bee 6. bicycle 7. bird 8. bus 9. car 10. chair 11. dog 12. drum 13. hammer 14. laptop 15. orange 16. rabbit 17. snake 18. sofa 19. tennis ball 20.... 6
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- 10. Impact of LSVRCNumberofentries 2010-2012 2013 LSVRC 2010 LSVRC 2011 LSVRC 2012 LSVRC 2013: 81 entries 2014 LSVRC 2014: 123 entries 120 100 80 60 40 20 0 10
- 11. 11 Winning LSVRC is so important that a company decided to cheat
- 12. LPIRC = LSVRC Energy LPIRC = Low Power Image Recognition Challenge 12
- 13. LPIRC 2015/06/07 • a one-day workshop in SF • 34 registrations in 10 teams from 13 organizations and 4 countries (USA, China, Taiwan, Canada) • 8 teams presented 20 solutions (2 teams quit) • Sponsors: 13
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- 16. Winners • Champion: Tsinghua/Huawei, Nvidia Jetson • Second prize: CASIA/Huawei Team • Third prize: Tsinghua/Huawei Team • Highest accuracy with low energy: Tsinghua/Huawei • Least energy with high accuracy: CASIA/Huawei • Special prizes: – Ready to go: Carnegie Mellon – Standing alone: Rice University Team 16
- 17. Winners and Organizers 2015 17
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- 19. Results of the Entries 1.000E-006 1.000E-005 1.000E-004 1.000E-003 1.000E-002 1.000E-001 1.000E+000 Accuracy (mAP = mean average precisions) 19
- 22. LPIRC 2016 Spectators Team 1 Test Data Test Data Team 2 Scores 124:127 22
- 23. LPIRC 2016 • June 2016 in Austin Texas (with Design Automation Conference) • More teams: please encourage your colleagues to participate • More images and shorter response time • New track: use LCD display as the data source and teams have to use cameras (to simulate human eyes) 23
- 24. Long-Term Goal • Only ambient energy (light, sound, vibration...) • Real-time • 1,000 categories and one million images • 10 minutes • Each image may contain multiple objects • At least 10 images / second • 99% accuracy 24
- 25. What Do I Need from You? • Publicity: encourage researchers and engineers in your companies to participate in LPIRC 2016 • Committee members: please volunteer • Data and annotation • Rules and new ideas • Funding: travel grants for participants, equipment for the referee system, prizes for winners, support for creating the new referee system 25
- 26. Low-Power Image Recognition Competition (LPIRC) www.lpirc.net Yung-Hsiang Lu, Purdue University yunglu@purdue.edu Alex Berg, University of North Carolina 26