Image Recognition In Android One Hour Bootcamp Kotlin

Train your own Image Recognition models and build Android Applications in Kotlin
What you'll learn
Training image recognition models and building Android applications
Using recognition models with images and live footage from camera
Collecting an organizing dataset for model training
Training Fruit Recognition model and Building Android Application
Training Dog breed Recognition model and Building Android Application
Requirements
Basic knowledge of Android app development using Kotlin
Description
Welcome to "Image Recognition in Android One hour Bootcamp Kotlin"This course is designed to teach you to train your own image recognition models and build Android applications in just one hour of your life. So its a one big foot towards smart Android app development.The course will teach you toGather and arrange the dataset for model trainingTraining Image recognition model on that dataset with just a few clicksUsing the trained model inside Android Applications using both KotlinSo, this course is different from other android app development courses as in this course you will learn smart Android development with machine learning and computer vision.Tools:You just need to have Android Studio installed in your system.Course Content:The case study we are going to take in this course is a Fruit recognition Application. So firstlyWe will get the Fruits dataset from KaggleThen we will train the Fruit recognition modelThen we will use that model inside Android applications to build two Android applications to recognize fruitsFruit Recognition using images from device gallery or cameraFruit recognition using live footage from the cameraPractice Activity:After that, there will be a practice activity for you to train a dog breed recognition model and build Android Applications using kotlin.Advantage:So by the end of this hour, you will be able to train any type of Image recognition model and use it inside your Android applications. You can earn big by building Machine learning-powered applications for your clients.You can impress your potential employer with your Android Machine Learning skills.You will have 5 fully functional Android recognition applications to empower your resumeSo let's start.
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Image Recognition model training
Lecture 2 Collecting and arranging the dataset
Lecture 3 Training Image Recognition model
Section 3: Fruit Recognition Application with images
Lecture 4 Importing starter Android Application code
Lecture 5 Android choose Images from gallery or capture them using camera
Lecture 6 Adding fruit recognition model in Android Application
Lecture 7 Testing Fruit Recognition Android Application
Lecture 8 Classifier code explanation (Tensorflow lite)
Section 4: Fruit Recognition using live camera footage
Lecture 9 Importing starter android application code
Lecture 10 Starter android application demo
Lecture 11 Recognizing Fruits using live camera footage of Android
Lecture 12 Testing live feed Fruit Recognition Android application
Lecture 13 Displaying live footage from camera in your Android applications camera2 API
Lecture 14 Performing recognition on frames of live camera footage in Android
Section 5: Dog Breed Recognition
Anyone who want to build real world recognition applications for Android
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