Android-TensorFlow-Lite-Example and KTFLITE

KTFLITE
44
Emerging
Maintenance 2/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 2/25
Adoption 10/25
Maturity 16/25
Community 16/25
Stars: 765
Forks: 232
Downloads:
Commits (30d): 0
Language: Java
License: Apache-2.0
Stars: 184
Forks: 23
Downloads:
Commits (30d): 0
Language: Kotlin
License: Apache-2.0
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About Android-TensorFlow-Lite-Example

amitshekhariitbhu/Android-TensorFlow-Lite-Example

Android TensorFlow Lite Machine Learning Example

This example helps Android developers integrate machine learning capabilities directly into their mobile applications. It takes an image captured by an Android device's camera and uses it to identify objects within the picture. Mobile app developers can use this as a starting point to add features like real-time object recognition to their apps.

Android development mobile app features on-device AI object detection machine learning integration

About KTFLITE

eddywm/KTFLITE

Computer Vision on Android with Kotlin and Tensorflow Lite

This application demonstrates how to build computer vision features directly into Android mobile apps. It takes live camera input or images from an Android device and applies deep learning models to perform tasks like object detection or image classification. Mobile app developers looking to embed AI capabilities into their Android applications would find this useful.

Android-development mobile-app-development computer-vision on-device-AI machine-learning-deployment

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