Firebase Machine Learning Custom Model The model can be deployed from firebase console or through the script in the case of a script as soon as you have trained your machine learning model and converted to tflite it would then be deployed on firebase right from that same python script.
Read moreWhat can firebase ml do?
ML Kit is available for iOS and Android, and has APIs for many use cases:
Read moreWhat is ML kit in Firebase?
ML Kit is a mobile SDK that brings Google’s machine learning expertise to Android and iOS apps in a powerful yet easy-to-use package . Whether you’re new or experienced in machine learning, you can implement the functionality you need in just a few lines of code.
Read moreWhat is Mlkit?
ML Kit is a mobile SDK that brings Google’s on-device machine learning expertise to Android and iOS apps . Use our powerful yet easy to use Vision and Natural Language APIs to solve common challenges in your apps or create brand-new user experiences.
Read moreWhat ml Kit features are supported on device?
Features are the following:
Read moreWhat is ML vision?
Vision is a category of machine learning that deals with the analysis and interpretation of images and video streams . Cameras are increasingly used as input methods, allowing users to convey visually what’s hard to describe in text.
Read moreWhat is firebase ml kit in Android?
Firebase ML Kit is a mobile SDK that makes it easier for mobile developers to include machine learning capabilities in their applications. It consists of the following pre-built APIs: Text Recognition: To recognize and extract text from images. Face Detection: To detect faces and facial landmarks along with contours.
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