Train Object Detection Models for Android - The 2024 Guide

Train Custom Object Detection Models in Tensorflow Lite format and build Android Apps using Java and Kotlin | Android ML

What you'll learn
- Train Object Detection Models from Scratch and Convert them to Tensorflow Lite Format
- Use Trained Object Detection Models in Android (Java / Kotlin) with both Images and Videos
- Learn to Collect and Annotate Datasets for Training Object Detection Models
- Learn basics of Object Detection ,its applications and Machine Learning for Training Machine Learning Models for Mobile Devices
- Learn to use SSD EfficientDet Models in Android (Java / Kotlin) for Object Detection
- Learn to use SSD MobileNet Models in Android (Java / Kotlin) for Object Detection
- Learn use of YOLO Models in Android (Java / Kotlin) for Object Detection

Requirements
- No Machine Learning Knowledge Needed
- Having some basic knowledge of Android App development will be a plus

Description
Welcome to the Android app development course focused on custom object detection models using Kotlin and Java.

In this course, you will learn to:

Train custom object detection models for Android using Kotlin and Java.

Implement these models in Android apps to process images and live camera footage.

Utilize existing object detection models like YOLO, EfficientDet, and MobileNet within Android apps.

The Android app development section covers both Kotlin and Java programming languages.

By the end of this course, you will be able to:

Collect and annotate datasets for training object detection models.

Train models on custom datasets for Android using TensorFlow.

Convert models to TensorFlow Lite format for mobile use.

Integrate these models into Android apps with image and real-time camera detection.

Utilize existing models likeYOLO,SSD EfficientDet, andSSD MobileNetin Android apps.

Resources included:

Ready-to-use Android (Kotlin/Java) application codes.

Customization guides for integrating your object detection models.

Examples of using existing object detection models in Android apps.

Object Detection Applications:

Video surveillance

Crowd counting

Anomaly detection in industries

Self-driving cars

For iOS developers:

While the course also covers training object detection models for iOS, the focus is on Android app development using Kotlin and Java. Integration of these models into iOS apps is not included.

Course highlights:

Data collection and annotation: Learn to gather and label datasets for training custom object detection models

Model training: Train object detection models with TensorFlow.

Model conversion: Convert trained models to TensorFlow Lite.

Android app development: Build apps using Kotlin and Java that can process images and live camera feeds.

Using existing models: Implement popular object detection models in your Android apps.

Sign up today to access:

HD 1080p video content.

Training custom object detection models for Mobile Apps.

Comprehensive Android app development using Kotlin and Java.

Source codes worth over $1000 for Android applications.

A 30-day money-back guarantee from Udemy.

Who this course is for:

Anyone who wants to train object detection models for Android App Development (Java/Kotlin)

Anyone who wants to use object detection models in Android App Development (Java/Kotlin) with images and live camera footage

Beginner Android developer with very little knowledge of android app development

An Intermediate Android app developer wanted to build a powerful Machine Learning-based application for Android (Java/Kotlin)

Experienced Android (Java/Kotlin) app developers wanted to use Machine Learning models inside their applications.

Machine Learning experts want to use their object detection models in Android App Development (Java/Kotlin)

Click the "buy now" button and join the best course on object detection for Android app development using Kotlin and Java!

Who this course is for:
- Anyone who wants to train custom Object Detection models and build Android applications
- Beginner Android Developers Looking to build Machine Learning Powered Smart Android Apps
- Intermediate Android Developers looking to train powerful Object Detection Models and Deploy them in Android
- Android Professional looking to build NexGen Android Apps
- Student who want to use existing object detection models (YOLO, EfficientDet, MobileNet) in Android Apps
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