Train Object Detection Models & build Android Applications

November 7, 2023 Android Development, Development, Mobile Development

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Train Object Detection Models & build Android Applications, Train object detection models for Android & IOS | Use Object Detection models in Android | Android App Development.

*Courses content is updated in August 2023. The model training-related problem is fixed. So enroll now if you want to train and use object detection models in mobile apps.*

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 java and kotlin programming 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)