Train Image Classification Models & Build Flutter Apps 2024

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Hamza Asif

4:49:09

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1. Introduction

1. Introduction.mp4

02:43

2. Image Classification Introduction & Applications.mp4

05:19

2. Machine Learning & Deep Learning for Flutter

1. What is Machine Learning.mp4

03:15

2. Supervised Machine Learning.mp4

03:33

3. Regression and Classification.mp4

02:08

4. Unsupervised Machine Learning & Reinforcement Learning.mp4

03:19

5. Deep Learning and Neural Network Introduction.mp4

05:56

6. Neural Network Example.mp4

10:05

7. Working of Neural Networks for Image Classification.mp4

04:51

8. Basic Concepts of Machine Learning.mp4

04:49

3. Data Collection - Collecting Dataset for Training Image Classification Model

1. Data Collection Introduction.mp4

03:25

2. Finding ready to use dataset for training image classification models.mp4

05:13

3.1 dataset.zip

3. Exploring Downloaded dataset for training custom image classification models.mp4

03:05

4. Find and Download A Dataset for Brain Tumor Classification using MRI.html

4. Train Your First Custom Image Classification Model in 15 Minutes

1. Section Introduction.mp4

01:22

2. Exploring Teachable Machine and Uploading Dataset for Model Training.mp4

04:57

3. Training, Testing and Converting Model into Tensorflow Lite.mp4

07:25

4. Attaching Metadata with Trained Tensorflow Lite Models.mp4

01:47

5. Google Colab Introduction.mp4

06:43

6.1 metadata writer tutorial.zip

6. Attaching Metadata and Downloading Ready to Use Model.mp4

05:09

5. Training Custom Image Classification Model with Transfer Learning

1. Transfer Learning Introduction.mp4

03:32

2. Google Colab Introduction.mp4

06:43

3.1 2024 training image classification models.zip

3. Installing and Importing Libraries for Model Training.mp4

04:27

4. Uploading Dataset and Connecting Google Drive.mp4

03:56

5. Dividing dataset into train test and validation parts.mp4

06:08

6. Training Custom Image Classification Model.mp4

09:14

7. Testing the model and Converting it to Tensorflow Lite Format.mp4

04:05

6. Training Brain Tumor Classification Model

1. Train Brain Tumor Classification Model.html

7. Flutter App Development

1. Section Introduction.mp4

01:43

8. Image Picker - Choose or Capture Images in Flutter

1. Setting Up a new Flutter Project and Creating Application GUI.mp4

10:32

2. Adding the Library and setting configurations for Android & IOS.mp4

06:34

3. Choosing Images From Gallery In Flutter.mp4

08:21

4. Capturing Images using Camera in Flutter.mp4

03:03

5. Overivew.mp4

01:46

9. Image Labeling Classification in Flutter With Images

1. Setting up the Image Labeling With Images Flutter Project.mp4

02:50

2. Adding Library in Flutter and Setup for Android and IOS.mp4

10:06

3. Performing Image Labeling in Flutter With Images.mp4

11:59

4. Showing ML models results on Screen to the User in Flutter.mp4

04:05

5. Image Labeling with Images in Flutter Overview.mp4

01:54

6. Building GUI of Image Labeling with Images Flutter Application.mp4

09:47

7. Making Image Labeling Results Look better in Flutter.mp4

03:15

10. Image Classification With Your Custom Trained Model

1.1 fruits.zip

1. Adding Custom Trained Image Classification Model in Flutter.mp4

04:29

2. Loading Tensorflow Lite Model in Flutter and Performing Inference.mp4

08:54

3.1 model (11).zip

3. Using Transfer Learning Trained Model in Flutter.mp4

02:42

11. Displaying Live Camera Footage in Flutter

1. Creating new Flutter project and Adding library.mp4

05:41

2. Displaying Live Camera Footage in Flutter.mp4

11:20

3. Getting Frames of Camera Footage One by One in Flutter.mp4

03:27

4. Camera Package Overview.mp4

01:42

12. Realtime Image Classification in Flutter

1. Setting up Real Time Image Labeling Project in Flutter.mp4

01:43

2. Setting up Image Labeling Library for Android & IOS in Flutter.mp4

05:43

3. Converting Camera Frames and Processing them one by one in Flutter.mp4

10:03

4. Passing Frames on Image Classification model and Getting Results in Flutter.mp4

05:50

5. Building GUI of Realtime Image Classification Flutter Application.mp4

09:46

6. Showing Frame Image on Camera Footage in Flutter.mp4

06:06

13. Using Custom Trained Image Classification Models with Live Camera Footage

1.1 fruits.zip

1. Adding Tensorflow Lite Model in Flutter Project.mp4

03:29

2. Loading Tensorflow Lite Model in Flutter and Passing Input.mp4

06:57

3. Testing Realtime Custom Image Classification Flutter App.mp4

00:36

4. Using Transfer Learning Trained Tensorflow Lite Model in Flutter.mp4

01:23

5. Testing Realtime Custom Image Classification Flutter App.mp4

00:14

Description

Use Image Classification Models in Flutter with Images or Videos | Learn to train Image Recognition Models from Scratch

What You'll Learn?

Train Custom Image Classification Models from Scratch & Convert models into flutter compatible tensorflow lite format
Use Custom Image Classification Models in Flutter with Images and Camera Footage
Collect Datasets for Training Custom Image Classification Models
Use Transfer Learning to Retrain Existing Image Classification Models and use them in Flutter
Train Custom Image Classification Models for Flutter using Two Different Approaches

Who is this for?

Beginner Flutter Developers looking to build Machine Learning Powered Flutter Apps

Anyone who want to train Image Classification Models and than use them in Android and IOS Apps

Flutter Developers looking to enhance their skills by learning to train and use image classification models in Flutter

What You Need to Know?

No ML and Data Science Knowledge Required

A very little knowledge of App Development in Flutter is Needed

More details

Description
Unlock the full potential of mobile app development with our comprehensive course on training custom image classification models and integrating them into Flutter applications. This course is designed to guide you from the basics of machine learning and deep learning to creating sophisticated, real-time image recognition apps using Flutter and Dart.
What You Will Learn:
Introduction to Machine Learning and Deep Learning: Start with the foundational concepts of machine learning, deep learning, and image classification to build a strong base for your journey.
Dataset Collection: Learn effective methods to collect and prepare datasets for training your image classification models.
Model Training Approaches: Train image classification models using two powerful approaches:
Teachable Machine: A user-friendly platform to create custom models.
Transfer Learning: Advanced technique to leverage pre-trained models for better accuracy and efficiency.
TensorFlow Lite Conversion: Convert your trained models into TensorFlow Lite format, making them compatible with mobile applications.
Flutter Integration: Seamlessly integrate your models into Flutter apps:
Image Classification: Choose or capture images in Flutter and use your models for accurate image recognition.
Real-Time Camera Footage: Display live camera footage in Flutter, pass frames to your models, and build real-time, intelligent mobile apps.

Projects Included:
Fruit and Vegetable Classification Model: Create an app that identifies different fruits and vegetables.
Brain Tumor Classification Model: Develop a model to classify brain tumor images.
Flower Classification Model: Build a system to recognize various types of flowers.

By the end of this course, you'll be able to:
Train custom image classification models tailored to your specific needs.
Seamlessly integrate your models into Flutter applications built with Dart.
Craft intelligent mobile apps that leverage real-time image recognition functionalities.
Develop cross-platform mobile apps (Android and iOS) with enhanced capabilities.
So join us to become proficient in Flutter app development and create cutting-edge mobile apps with image and video recognition capabilities using Dart.
Enroll now and start your journey towards mastering Flutter and Machine Learning
Who this course is for:
Beginner Flutter Developers looking to build Machine Learning Powered Flutter Apps
Anyone who want to train Image Classification Models and than use them in Android and IOS Apps
Flutter Developers looking to enhance their skills by learning to train and use image classification models in Flutter

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Google Flutter

Hamza Asif

Instructor's Courses

Experienced Mobile Developer, specialized in Mobile Machine Learning using Tensorflow lite, ML Kit, and Google cloud vision API. Leading Android Machine learning instructor with over 50,000 students from 150 countries. I am an enthusiastic developer with a strong programming background and possess great app development skills. I have developed a bunch of native and cross-platform apps in the past and satisfied all of my clients. It has been +4 years doing Mobile development and providing support for Android Applications. Empowering mobile Applications using Machine Learning and Computer vision is my core skill.Powering Android Application with ML really fascinates me. So I learned Android development and then Machine Learning. I developed Android applications for several multinational organizations. Now I want to spread the knowledge I have. I'm always thinking about how to make difficult concepts easy to understand, what kind of projects would make a fun tutorial, and how I can help you succeed through my courses.

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