- Product Introduction
- Purchase Guide
- Operation Guide
- API Documentation
- FACEID Policy
- Product Introduction
- Purchase Guide
- Operation Guide
- API Documentation
- FACEID Policy
Strengths
Accurate recognition
Face Recognition has set many records in international competitions. It achieved an 99.80% accuracy in LFW 2017 and an 83.29% recognition rate in the MegaFace challenge.
Stability and reliability
Face Recognition has been verified by a large number of users and complex use cases. It is proven to be highly reliable and robust with service availability up to 99.9%.
Leading algorithms
Based on the 3rd generation Tencent YouTu Grandmother Model, Face Recognition has integrated multiple training methods to optimize the model, including metric learning, transfer learning, multi-task learning, etc. It can custom fine-tuning or distilling models to meet requirements for performance and latency in different scenarios.
Diverse use cases
Face Recognition provides simple APIs and has diverse use cases such as access control, VIP identification, sign-in, payment and login.
Real-time response
Face Recognition features high concurrence, high throughput, and low latency. It can search and process millions of faces in hundreds of milliseconds, meeting you needs in real time.
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