Text Recognizer in Android using ML Kit
Text Recognizer in Android using ML Kit
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 439 MB
Genre: eLearning Video | Duration: 19 lectures (46 mins) | Language: English
Machine Learning in Android | Text recognition | Text Detection
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 439 MB
Genre: eLearning Video | Duration: 19 lectures (46 mins) | Language: English
Machine Learning in Android | Text recognition | Text Detection
What you'll learn
Create own Text Recognizer Android Application
Enrolled students will learn about Machine Learning in Android
Features of Firebase
Requirements
Internet Connectivity
Android Studio
Basic Knowledge on Java
Basic Knowledge on App Development
Android Phone ( For Testing )
Description
Within this course, we'll discuss the functionality of the Firebase ML Kit for Android. We'll start by learning about the Firebase ML Kit and the features it provides. Then we'll see how to incorporate ML Kit in your Android app with Android Studio. Before that, we'll explore the functionality of the ML Kit and build Android application on Text Recognizer.
Machine Learning is not a new subject in this age. Everyone is choosing machine learning. Machine Learning can be applied to Android apps as well as market requirements. Google Firebase offers an ML Package that helps us to recognize text in pictures. It can be helpful or quick to read text from an picture in today's life. It can help you to achieve your goal.
Who this course is for:
Android Developers
Developers who want to implement Machine Learning in Android
Machine Learning Students
Text Recognizer in Android using ML Kit
