Segment
Google Analytics
Mixpanel
Egnyte
Zapier
Hotjar
RStudio
Geckoboard
Face Recognition
Dlib
Face++
Amazon Rekognition
Hiface
Smart Face Detector
Face It
Kairos
Segment Face RecognitionNo features have been listed yet.
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Based on our record, Segment should be more popular than Face Recognition. It has been mentiond 46 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
For teams just starting out with PLG enrichment: Datagma as the primary personal email resolver, PDL as fallback, Segment as the event bus, Mixpanel for behavioral event storage (the SQL explorer makes it easy to export activation cohorts for offline scoring analysis without touching production code), and whatever CRM you already have. - Source: dev.to / 3 months ago
Twilio Segment: Specializes in customer data collection with a more neutral stance toward destination platforms. Its API allows flexible data routing across your tech stack without being tied to specific engagement channels. - Source: dev.to / over 1 year ago
To collect these metrics effectively, you'll need specialized tools like Google Analytics, Mixpanel, Segment, or Amplitude. - Source: dev.to / over 1 year ago
Segment for event collection and routing. - Source: dev.to / over 1 year ago
Segment โ Customer data platform for tracking and analytics. - Source: dev.to / over 1 year ago
Did you look at egoblur? Its a lot more effective at face detection than https://github.com/ageitgey/face_recognition granted, you'd have to do your own face matching to do exception. - Source: Hacker News / about 1 year ago
Syncthing, python face_recognition [1], a static gallery (sigal [2]), and a few lines of bash and its fully automatic. I can even share links with family. [1] https://github.com/ageitgey/face_recognition. - Source: Hacker News / over 1 year ago
Camera connected to a PI? Something like this could run locally: https://github.com/ageitgey/face_recognition. Source: over 2 years ago
One of the most common challenges is the black-box problem, when the pipeline becomes too complex to understand it would happen. This can make it difficult to identify issues with the system or to understand why it isn't working as we expected or make accurate predictions that saiwa company find out the solution for Face Recognition. Another challenge is the time required for organizations to deploy a machine... Source: about 3 years ago
Second link is an easy to implement python library is you want to build it yourself Https://github.com/ageitgey/face_recognition. Source: about 3 years ago
Google Analytics - Improve your website to increase conversions, improve the user experience, and make more money using Google Analytics. Measure, understand and quantify engagement on your site with customized and in-depth reports.
Dlib - Dlib is a modern C++ toolkit containing machine learning algorithms & tools for creating complex software in C++ to solve real world problem
Mixpanel - Mixpanel is the most advanced analytics platform in the world for mobile & web.
Face++ - API for face detection โ also detects gender, age, pose
Egnyte - Enterprise File Sharing
Amazon Rekognition - Add Amazon's advanced image analysis to your applications.
