Train Object Detection Models build Android Applications

Train Object Detection Models & build Android Applications, available at $59.99, has an average rating of 3.95, with 145 lectures, based on 56 reviews, and has 296 subscribers.

You will learn about Train object detection models on custom datasets for Android Applications Use existing object detection models in Android with both images and videos Learn about tflite (TensorFlow lite) models integration in Android App Development Use YOLO models in Android with images and live camera footage Test and optimize trained object detection model for Android devices Collect and annotate datasets for training object detection models Use SSD Mobilenet models in Android with images and live camera footage Use Efficient Det models in Android with images and live camera footage Convert object detection model into tensorflow lite formats Learn about object detection and its applications in Android app development Build Android Applications using both Java and kotlin This course is ideal for individuals who are Someone want to train custom Object Detection models and build mobile applications or Android App Developers want to learn smart Machine Learning based Android Development or Students who have basic knowledge of Android app development and want to build smart machine learning based Android Applications or Students who want to learn use of existing object detection models in Android (YOLO, EfficientDet, mobileNet) or Machine Learning Engineers want to use their existing object detection model in Android App Development It is particularly useful for Someone want to train custom Object Detection models and build mobile applications or Android App Developers want to learn smart Machine Learning based Android Development or Students who have basic knowledge of Android app development and want to build smart machine learning based Android Applications or Students who want to learn use of existing object detection models in Android (YOLO, EfficientDet, mobileNet) or Machine Learning Engineers want to use their existing object detection model in Android App Development.

Enroll now: Train Object Detection Models & build Android Applications

Summary

Title: Train Object Detection Models & build Android Applications

Price: $59.99

Average Rating: 3.95

Number of Lectures: 145

Number of Published Lectures: 106

Number of Curriculum Items: 151

Number of Published Curriculum Objects: 112

Original Price: $189.99

Quality Status: approved

Status: Live

What You Will Learn

Train object detection models on custom datasets for Android Applications

Use existing object detection models in Android with both images and videos

Learn about tflite (TensorFlow lite) models integration in Android App Development

Use YOLO models in Android with images and live camera footage

Test and optimize trained object detection model for Android devices

Collect and annotate datasets for training object detection models

Use SSD Mobilenet models in Android with images and live camera footage

Use Efficient Det models in Android with images and live camera footage

Convert object detection model into tensorflow lite formats

Learn about object detection and its applications in Android app development

Build Android Applications using both Java and kotlin

Who Should Attend

Someone want to train custom Object Detection models and build mobile applications

Android App Developers want to learn smart Machine Learning based Android Development

Students who have basic knowledge of Android app development and want to build smart machine learning based Android Applications

Students who want to learn use of existing object detection models in Android (YOLO, EfficientDet, mobileNet)

Machine Learning Engineers want to use their existing object detection model in Android App Development

Target Audiences

Someone want to train custom Object Detection models and build mobile applications

Android App Developers want to learn smart Machine Learning based Android Development

Students who have basic knowledge of Android app development and want to build smart machine learning based Android Applications

Students who want to learn use of existing object detection models in Android (YOLO, EfficientDet, mobileNet)

Machine Learning Engineers want to use their existing object detection model in Android App Development

If you want to train custom object detection models for Android and iOS then welcome to this course.

In this course, you will learn to

Train your custom object detection models for Android and IOS

Use those models in Android (Java/Kotlin) with images and live camera footage

Use existing object detection models like YOLO, EfficientDet, and MobileNet models in Android (Java/Kotlin)

The Android app development section of this course is for both javaand kotlinprogramming languages.

So after completing this course you will be able to

Collect datasets for training object detection models

Annotate datasets using different tools

Train object detection models on custom datasets for Android and IOS ( TensorFlow object detection )

Convert object detection models into tflite/ Tensorflow lite format

Use those converted models in Android (Java/Kotlin) with images and live camera footage

Use existing object detection models in Android (Java/Kotlin) like YOLO v4, SSD EfficientDet Models, and SSD MobileNet Models

Ready to use Resources

The course comes with ready-to-use codes which means if you have a trained object detection model then

You can take complete android (Java/Kotlin) application codes from course resources

Replace the object detection model with your custom model

And use it for your custom use case

and if you want to use existing object detection models in Android for your custom use cases then

you can take complete android (Java/Kotlin) application codes from course resources

and customize it as per your needs

What is there for IOS developers(Object Detection IOS)

So apart from Android App Development, If you want to train custom object detection models for IOS applications then you can also take this course but the integration of object detection models in IOS applications is not included in this course

Object Detection

Object detection is a computer vision technique that allows us to identify and locate objects in an image or video.

Use Cases & Applications

Video surveillance

Crowd counting

Anomaly detection (i.e. in industries like agriculture, and health care)

Self-driving cars

Course Curriculum

The course is divided into several sections

Data collection and Annotation

In this section, we will cover the basics of dataset collection and annotation and then

We will learn to collect the dataset for training an object detection model

After that, we will learn to annotate that dataset using Roboflow and other such tools

Training Object Detection Model / Tensorflow Object Detection

We will learn to train an object detection model using the dataset we collected and annotated.

Testing and Conversion

After training the model we will test it to check model performance and accuracy

Then we will convert it into tflite / Tensorflow lite format so that we can use it in mobile applications.

Android App Development (Object Detection Android)

After model training and conversion, we will learn to use that model inside Android applications (Java/Kotlin) with both

Images

Live camera footage / Real-Time Object Detection

Object Detection with Images (Object Detection Android App Development)

So firstly we will build an Android (Java/Kotlin) application where

users can choose images from the gallery or capture images using the camera

and then those images will be passed to our custom object detection model

and then based on the results returned by the model we will draw rectangles around detected objects.

Object Detection with live camera footage (Object Detection Android App Development)

Secondly, we will build an Android (Java/Kotlin) application in which

we will display the live camera footage using camera 2 API

and then we will pass frames of live camera footage to our object detection model

and draw rectangles around the detected objects in real-time

Existing Object Detection Models (Object Detection Android App Development)

We will learn to use existing object detection models inside Android (Java/Kotlin) Applications with both images and live camera footage. So in that section, we explore three popular families of object detection models and use them inside Android (Java/Kotlin) Applications.

SSD MobileNet Models

Efficient Det Models

YOLO Models

SSD MobileNet Models

In this section, we will learn to use SSD MobileNet Models in Android (Java/Kotlin) with both images and live camera footage.

Firstly we will learn about the structure of MobileNet models and then we will use two popular MobileNet models in Android (Java/Kotlin) which are

SSD MobileNet V1

SSD MobileNet v3

Efficient Det Models

In this section, we will learn to use EfficientDet Models in Android (Java/Kotlin) with both images and live camera footage.

Firstly we will learn about the structure of EfficientDet models and then we will use two popular EfficientDet models in Android (Java/Kotlin) which are

EfficientDet Lite0

EfficientDet Lite1

EfficientDet Lite2

EfficientDet Lite3

YOLO Models / YOLO object detection

In this section

we will learn to use the latest YOLOV4 model in Android (Java/Kotlin) with both images and live camera footage

We will also cover the YOLO model structure and how input and outputs are handled in YOLO effectively

We will handle the integration of both the regular YOLOV4 model and the tiny YOLOv4 model in Android with both images and live camera footage.

So a complete YOLO object detection package for android app development.

Sign up today, and look forwards to:

HD 1080p video content.

Training custom object detection models

Building fully-fledged Android ( Java / Kotlin ) applications using different object detection models.

All the knowledge you need to start building Object Detection-based Android ( Java / Kotlin ) application you want

$1000+ Source codes of Android ( Java / Kotlin ) Applications.

REMEMBER… I’m so confident that you’ll love this course and you will also get a 30-day money-back guarantee from udemy. So it’s a complete no-brainer, sign up today with ZERO risks and EVERYTHING to gain.

So what are you waiting for? Click the buy now button and join the world’s best Object Detection course.

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)

Course Curriculum

Chapter 1: Introduction

Lecture 1: What is Object Detection

Lecture 2: How an Object Detection Model is Trained

Lecture 3: What is there for IOS developers

Lecture 4: What is there for Machine Learning Engineers

Chapter 2: Dataset Collection and Annotation for Object Detection

Lecture 1: Dataset Collection Basics

Lecture 2: Data Annotation Basics

Lecture 3: Collecting dataset for training Object Detection model

Lecture 4: Course Resources

Lecture 5: Tools for data annotation

Lecture 6: Annotating dataset for training object detection model

Lecture 7: Dataset version management and export formats

Chapter 3: Training Custom Object Detection models

Lecture 1: Introduction to the section

Lecture 2: What is Tensorflow lite

Lecture 3: What is Google Colab!

Lecture 4: Change Structure of Annotated dataset for model training

Lecture 5: Model Training Notebook and Uploading Dataset

Lecture 6: Importing Libraries and Loading Annotated Dataset

Lecture 7: Training Custom Object Detection Model

Lecture 8: Object Detection Model Evaluation Basics

Lecture 9: Testing Our Custom Object Detection Model

Lecture 10: Converting Object Detection Model Into Tensorflow Lite

Lecture 11: Improving Object Detection Models

Chapter 4: App Development

Lecture 1: Section Introduction

Chapter 5: Java: Image Picker Section

Lecture 1: Creating new Android Studio Project

Lecture 2: Capturing Images using Camera inside our Android Application

Lecture 3: Choosing Images from Gallery inside our Android Application

Lecture 4: Overview

Chapter 6: Kotlin: Image Picker Section

Lecture 1: Creating new Android Studio Project

Lecture 2: Capturing Images using Camera inside our Android Application

Lecture 3: Choosing Images from Gallery inside our Android Application

Lecture 4: Overview

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

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

Lecture 2: Adding libraries for Performing Object Detection

Lecture 3: Loading Object Detection Models in Android

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

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

Lecture 8: Object Detection With Images Overview

Chapter 8: Kotlin: Object Detection with Images for Android App Development

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

Lecture 2: Adding libraries for Performing Object Detection

Lecture 3: Loading Object Detection Models in Android

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

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

Lecture 8: Making Text and Rectangle Size Dynamic

Lecture 9: Handling Rotation Of Camera Images In Android

Lecture 10: Object Detection With Images Overview

Chapter 9: Java: Object Detection with Live Camera Footage / Real Time Object Detection

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 10: Kotlin: Object Detection with Live Camera Footage / Real Time Object Detection

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 with frames of live camera footage

Lecture 6: Drawing Rectangles Around Detected Objects in Realtime

Chapter 11: Pretrained Object Detection Models

Lecture 1: Types of Object Detection Models

Chapter 12: Java: Using 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: Images Android Application Code Explanation

Lecture 4: Using EfficientDet Models with Live Camera Footage in Android

Lecture 5: Testing EfficientDet Lite0 model with live camera footage in Android

Lecture 6: Testing EfficientDet Lite3 model with live camera footage in Android

Lecture 7: Handling Efficient Det Models with live camera footage in Android

Chapter 13: Kotlin: Using EfficientDet Models for Object Detection in Android

Lecture 1: EfficientDet Models Introduction

Lecture 2: Using EfficientDet Models with Images in Android

Lecture 3: Images Android Application Code Explanation

Lecture 4: Using EfficientDet Models with Live Camera Footage in Android

Lecture 5: Testing EfficientDet Lite0 model with live camera footage in Android

Lecture 6: Testing EfficientDet Lite3 model with live camera footage in Android

Lecture 7: Handling Efficient Det Models with live camera footage in Android

Chapter 14: Java: Using 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: Images Application Code Explanation

Instructors

Mobile ML Academy by Hamza Asif
ML & AI based Flutter, Android, IOS & React Native Courses

Rating Distribution

1 stars: 3 votes

2 stars: 2 votes

3 stars: 6 votes

4 stars: 17 votes

5 stars: 28 votes

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