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Train Object Detection Models for Android – The 2024 Guide

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Train Object Detection Models for Android – The 2024 Guide, available at $54.99, has an average rating of 4.5, with 103 lectures, based on 3 reviews, and has 39 subscribers.

You will learn about Train Object Detection Models from Scratch and Convert them to Tensorflow Lite Format Use Your Own 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 This course is ideal for individuals who are Anyone who wants to train custom Object Detection models and build Android applications or Beginner Android Developers Looking to build Machine Learning Powered Smart Android Apps or Intermediate Android Developers looking to train powerful Object Detection Models and Deploy them in Android or Android Professional looking to build NexGen Android Apps or Student who want to use existing object detection models (YOLO, EfficientDet, MobileNet) in Android Apps It is particularly useful for Anyone who wants to train custom Object Detection models and build Android applications or Beginner Android Developers Looking to build Machine Learning Powered Smart Android Apps or Intermediate Android Developers looking to train powerful Object Detection Models and Deploy them in Android or Android Professional looking to build NexGen Android Apps or Student who want to use existing object detection models (YOLO, EfficientDet, MobileNet) in Android Apps.

Enroll now: Train Object Detection Models for Android – The 2024 Guide

Summary

Title: Train Object Detection Models for Android – The 2024 Guide

Price: $54.99

Average Rating: 4.5

Number of Lectures: 103

Number of Published Lectures: 103

Number of Curriculum Items: 103

Number of Published Curriculum Objects: 103

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

  • Train Object Detection Models from Scratch and Convert them to Tensorflow Lite Format
  • Use Your Own 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

Who Should Attend

  • 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

Target Audiences

  • 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

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 like YOLO, SSD EfficientDet, and SSD MobileNet in 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!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Train Object Detection Models for Android – Java & Kotlin

Lecture 2: Object Detection & Applications Introduction

Lecture 3: How an Object Detection Model is Trained

Lecture 4: Course Resources

Chapter 2: Dataset Collection and Annotation for Object Detection Model Training

Lecture 1: What is Data Collection

Lecture 2: Collecting dataset for training Object Detection model for Android

Lecture 3: Exploring dataset and managing it for Android object detection model training

Lecture 4: What is Data Annotation

Lecture 5: Exploring Data Annotation Tool and Uploading data

Lecture 6: Annotating dataset for training object detection model for Android

Lecture 7: Adding Annotated Images in Dataset and Correcting Classes

Lecture 8: Appling Data Augmentation and Exporting Dataset

Lecture 9: Checking Health of Dataset before Model Training

Chapter 3: Training Custom Object Detection models for Android Apps

Lecture 1: Training Object Detection models Section Introduction

Lecture 2: Change Structure of Annotated dataset for model training

Lecture 3: Google Colab Introduction

Lecture 4: Model Training Notebook and Uploading Dataset

Lecture 5: Importing Libraries and Loading Annotated Dataset

Lecture 6: Training Custom Object Detection Model

Lecture 7: Object Detection Model Evaluation Basics

Lecture 8: Testing Our Custom Object Detection Model

Lecture 9: Tensorflow Lite Introduction

Lecture 10: Converting Object Detection Model Into Tensorflow Lite

Lecture 11: Improving Object Detection Models

Chapter 4: Java: Choose or Capture Images in Android

Lecture 1: Creating new Android Studio Java Project

Lecture 2: Capturing Images using Camera inside our Android Java Application

Lecture 3: Choosing Images from Gallery inside our Android Java Application

Lecture 4: Overview

Chapter 5: Kotlin: Choose or Capture Images in Android

Lecture 1: Creating new Android Studio Kotlin Project

Lecture 2: Capturing Images using Camera inside our Android Kotlin Application

Lecture 3: Choosing Images from Gallery inside our Android Kotlin Application

Lecture 4: Overview

Chapter 6: Java: Object Detection with Images for Android App Development

Lecture 1: Importing Starter Android Application Code for Object Detection With Images

Lecture 2: Adding libraries for Performing Object Detection in Android

Lecture 3: Loading Object Detection Models in Android Java App

Lecture 4: Passing Input Images to Object Detection Models and Getting Outputs in Android

Lecture 5: Getting Names, Confidence and Location of Detected Object In Android

Lecture 6: Drawing Rectangles Around Detected Objects In Android

Lecture 7: Drawing Names Of Detected Object On Images in Android

Lecture 8: Object Detection With Images Android Overview

Chapter 7: Kotlin: Object Detection with Images for Android App Development

Lecture 1: Importing Starter Android Kotlin App Code for Object Detection With Images

Lecture 2: Adding libraries for Performing Object Detection in Android Kotlin App

Lecture 3: Loading Object Detection Models in Android Kotlin App

Lecture 4: Passing Input Images to Object Detection Models and Getting Outputs in Android

Lecture 5: Getting Names, Confidence and Location of Detected Object In Android

Lecture 6: Drawing Rectangles Around Detected Objects In Android

Lecture 7: Drawing Names Of Detected Object On Images in Android Kotlin App

Lecture 8: Making Text and Rectangle Size Dynamic in Android Kotlin App

Lecture 9: Handling Rotation Of Camera Images In Android Kotlin Apps

Chapter 8: Java: Object Detection with Live Camera Footage in Android

Lecture 1: Setting up the Android Studio project

Lecture 2: Real Time Object Detection Android Application Demo

Lecture 3: Displaying live camera footage inside Android App

Lecture 4: Getting frames of live camera footage as bitmaps in Android

Lecture 5: Performing object detection in Android with Live Camera Footage

Lecture 6: Drawing Rectangles Around Detected Objects In Android

Chapter 9: Kotlin: Real Time Object Detection in Android

Lecture 1: Setting up the Android Studio project

Lecture 2: Real Time Object Detection Android Kotlin Application Demo

Lecture 3: Displaying live camera footage inside Android Kotlin App

Lecture 4: Getting frames of live camera footage as bitmaps in Android Kotlin

Lecture 5: Performing object detection with frames of live camera footage in Android

Lecture 6: Drawing Rectangles Around Detected Objects in Realtime in Android Kotlin Apps

Chapter 10: Java: EfficientDet Models for Object Detection in Android App Development

Lecture 1: EfficientDet Models Introduction

Lecture 2: Using EfficientDet Models with Images in Android

Lecture 3: Testing EfficientDet Models with Images in Android

Lecture 4: Using Other EfficientDet Models with Images in Android

Lecture 5: Using EfficientDet Models with Live Camera Footage in Android

Lecture 6: Testing EfficientDet model with live camera footage in Android

Chapter 11: Kotlin: EfficientDet Models for Object Detection in Android App Development

Lecture 1: EfficientDet Models Introduction

Lecture 2: Using EfficientDet Models with Images in Android Kotlin Apps

Lecture 3: Testing EfficientDet Models with Images in Android Kotlin Apps

Lecture 4: Using Other EfficientDet Models with Images in Android Kotlin Apps

Lecture 5: Using EfficientDet Models with Live Camera Footage in Android Kotlin Apps

Lecture 6: Testing EfficientDet Lite0 model with live camera footage in Android Kotlin Apps

Chapter 12: Java: SSD MobileNet Models for Object Detection in Android Apps

Lecture 1: SSD MobileNet Model Introduction

Lecture 2: Using SSD MobileNet V1 model with Images in Android

Lecture 3: Using SSD MobileNet V3 model with Images in Android

Lecture 4: OD Images Android Application Code Explanation

Lecture 5: How an object detection model works in Android (Classifier Class)

Lecture 6: Using SSD MobileNet V1 model with live camera footage in Android

Lecture 7: Testing SSD MobileNet V1 model with live camera footage in Android

Lecture 8: Using SSD MobileNet V3 model with live camera footage in Android

Lecture 9: Testing SSD MobileNet V3 model with live camera footage in Android

Lecture 10: Handling SSD MobileNet Models with live camera footage in Android

Chapter 13: Kotlin: SSD MobileNet Models in Android for Object Detection

Lecture 1: Object Detection in Android With SSD MobileNet Model Introduction

Lecture 2: SSD MobileNet Model with images for Object Detection in Android Kotlin Apps

Lecture 3: What we have done so far!

Lecture 4: Using SSD MobileNet V3 model with Images in Android Kotlin for Object Detection

Instructors

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