Russian startup tops UW facial recognition challenge
Russian startup N-Tech.Lab recently became a leader in the MegaFace challenge in face recognition algorithms at the University of Washington.
N-Tech.Lab uses advanced techniques in the field of artificial neural networks and machine learning to develop its software products. The company’s facial recognition algorithm extracts the characteristic features of a person’s face from a picture.
N-Tech.Lab’s solution was declared the most accurate for the FaceScrub search in large datasets, achieving 73.3% accuracy on 1 million faces.
Google’s Facenet and Beijing Faceall Co are second and third.
“Currently we are planning to launch a couple of commercial products based on our technology and we also consider the possibility of raising investment for future development” commented N-Tech.Lab’s founder, Artem Kukharenko.
Article Topics
biometric testing | biometrics | competition | facial recognition | MegaFace | research and development | Russia | startup
Comments
8 Replies to “Russian startup tops UW facial recognition challenge”
Leave a Reply
This site uses Akismet to reduce spam. Learn how your comment data is processed.
Russian startup tops UW facial recognition challenge https://t.co/wBYqI5ZzAG
Russian startup tops UW facial recognition challenge https://t.co/gRPamNllnx
RT @BiometricUpdate: Russian startup tops UW facial recognition challenge https://t.co/wBYqI5ZzAG
RT @BiometricUpdate: Russian startup tops UW facial recognition challenge https://t.co/Cm6MvnZaio
RT @BiometricUpdate: Russian startup tops UW #facialrecognition challenge https://t.co/k4xUmEOi6s
RT @BiometricUpdate: Russian startup tops UW facial recognition challenge https://t.co/NGiNMQ4ZUa
RT @BiometricAmy: RT @BiometricUpdate: Russian startup tops UW facial recognition challenge https://t.co/NGiNMQ4ZUa
RT @BiometricUpdate: Russian startup tops UW facial recognition challenge https://t.co/4u0IWak0AE