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Description
Face⁺⁺ enables the detection and localization of human faces in images, providing high-accuracy bounding boxes for each identified face. Additionally, it offers the functionality to save metadata associated with each detected face for future reference. The system can assess the probability that two faces represent the same individual, delivering a confidence score along with thresholds for evaluating their similarity. By utilizing the Face⁺⁺ Detect API, users can identify faces in images and receive bounding boxes and tokens for each detected face, which can then be used with other APIs for additional processing. Furthermore, the Detect API can return facial landmarks and attributes for the five largest detected faces. All APIs are available at no cost, and users have the flexibility to transition to a paid service based on their business needs, utilizing options such as Pay As You Go or a QPS solution. Various SDK licensing options are offered for different devices, making integration straightforward. With Face⁺⁺, developers can seamlessly incorporate cutting-edge deep learning-based image recognition technologies into their applications through user-friendly and robust APIs and SDKs, enhancing their software capabilities significantly.
Description
Vokaturi software exemplifies cutting-edge technology in recognizing emotions through vocal cues. Crafted and continually refined by Paul Boersma, a professor at the University of Amsterdam and the chief creator of the renowned speech analysis tool Praat, its algorithms are at the forefront of this field. This innovative software can accurately assess whether a speaker is feeling happy, sad, fearful, angry, or neutral based solely on their voice. The open-source variant of Vokaturi provides impressive accuracy in distinguishing these five emotions, even when encountering a speaker for the first time. In contrast, the "plus" version offers performance that rivals that of an experienced human listener. Developers have the option to seamlessly integrate Vokaturi into their applications, making it a versatile tool for various uses. Licensing options are flexible, allowing users to select either a free open-source license or a paid one for enhanced features. Overall, Vokaturi presents an accessible yet powerful solution for emotion recognition in voice applications.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
No details available.
Integrations
No details available.
Pricing Details
$100 per day
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Megvii
Founded
2011
Country
China
Website
www.faceplusplus.com
Vendor Details
Company Name
Vokaturi
Founded
2016
Website
vokaturi.com
Product Features
Emotion Recognition
Facial Emotions
No
Facial Expression Analysis
No
Machine Learning
No
Photo Emotions
No
Speech Emotions
No
Video Emotions
No
Written Text Emotions
No
Product Features
Emotion Recognition
Facial Emotions
No
Facial Expression Analysis
No
Machine Learning
No
Photo Emotions
No
Speech Emotions
No
Video Emotions
No
Written Text Emotions
No