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What is Tencent Cloud Face Recognition?
The Tencent YouTu Grandmother Model, now in its 3rd generation, boasts significantly improved Face Recognition capabilities achieved through an array of advanced training methodologies, including metric learning, transfer learning, and multi-task learning. To ensure optimal performance and responsiveness tailored to various applications, the model undergoes specialized fine-tuning and distillation processes. It has been thoroughly evaluated against Tencent's vast user base and a wide range of complex situations, illustrating outstanding reliability with an impressive availability rate of over 99.9%. Furthermore, the Face Recognition system is adept at managing high levels of concurrency, showcasing remarkable throughput and low latency by processing millions of faces in milliseconds to cater to real-time requirements. Its adaptability enables seamless integration into various applications, including online photo organization, smart retail initiatives, security surveillance, access management, attendance verification, login functionalities, facial effects, online assessments, and more, highlighting its extensive relevance across multiple sectors. This combination of flexibility and efficiency positions it as an essential asset for contemporary technological landscapes, ensuring that it meets the demands of a rapidly evolving digital world. As industries continue to advance, the importance of such innovative technology cannot be overstated.
What is Betaface?
We offer an extensive selection of pre-built components, such as SDKs for facial recognition, coupled with customized software development services and cloud-based web solutions, all focused on image and video analysis, including face and object recognition. Our cutting-edge technology caters to a variety of industries like video and image archiving, online marketing, entertainment projects, media content production, video surveillance, security software, and solutions for both end-users and B2B software developers. The Betaface facial recognition suite integrates a broad spectrum of complex processes, covering everything from simple face detection to in-depth face recognition, which involves identification, verification, and multiple matching methods (1:1 and 1:N). Moreover, it supports biometric measurements, tracking of faces and features within videos, and identifies characteristics such as age, gender, ethnicity, and emotions, while also evaluating skin, hair, and clothing colors, along with different hairstyle shapes. Our innovative technology is increasingly recognized across numerous sectors, including video and image archives, web advertising initiatives, and entertainment ventures, fundamentally transforming the management and utilization of visual content. By continuously evolving and adapting to the needs of our clients, we strive to remain at the forefront of technological advancements in this domain.
Integrations Supported
Tencent Cloud
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Tencent
Date Founded
2013
Company Location
China
Company Website
intl.cloud.tencent.com/product/facerecognition
Company Facts
Organization Name
Betaface
Date Founded
2007
Company Location
Germany
Company Website
www.betaface.com/wpa/
Categories and Features
Categories and Features
Emotion Recognition
Facial Emotions
Facial Expression Analysis
Machine Learning
Photo Emotions
Speech Emotions
Video Emotions
Written Text Emotions
