Tencent Cloud Face Recognition Description
Face Recognition, based on the 3rd generation Tencent YouTu Grandmother Model was optimized using various training methods, such as multi-task learning, transfer learning and metric learning. Its custom fine-tuning and distilling models can meet different performance and latency requirements. Tencent's large user base and complex use cases tested Face Recognition. It was found to be reliable and robust, with a 99.9% availability rate. Face Recognition has high concurrency, high throughput, low latency, and high concurrency. It can process millions of faces in a matter of milliseconds. This allows you to meet your real-time usage requirements. Face Recognition can be used in many different applications, including online photo albums, smart shopping, security surveillance and face recognition access control and attendance. It also has face effects and online proctoring.
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