#6 Image labeling/Object detection using Firebase ML Kit | Image Recognition App Java
With ML Kit's image labeling APIs you can detect and extract information about entities in an image across a broad group of categories. The default image labeling model can identify general objects, places, activities, animal species, products, and more.
ML Kit’s base model returns a list of entities that identify people, things, places, activities, and so on. Each entity comes with a score that indicates the confidence the ML model has in its relevance. With this information, you can perform tasks such as automatic metadata generation and content moderation. The default model provided with ML Kit recognizes more than 400 different entities.
In Kotlin : • #6 Image labeling/Object detection using F...
Guided Links :
https://developers.google.com/ml-kit/...
maven { url "https://maven.google.com" } -- must add in allprojects repositories
00:00 : Overview
00:05: Firebase Setup
04:17 : XML Code
06:59 : Java Code
20:01 : Output
How to Request a Run Time Permission in Android Studio Java || Android Permission Tutorial : • How to Request a Run Time Permission in An...
How to Request a Run Time Permission in Android Studio Kotlin || Android Permission Tutorial : • How to Request a Run Time Permission in An...
Android Firebase ML in Kotlin Playlist:
• Android Firebase ML Kit in Kotlin
Android Firebase ML in Java Playlist:
• Android Firebase ML Kit Java
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