Train Object Detection & Image Classify models for Flutter
Train Object Detection & Image Classify models for Flutter, available at $69.99, has an average rating of 4.2, with 64 lectures, based on 24 reviews, and has 147 subscribers.
You will learn about Train Custom Image Classification & Object Detection Models for Flutter Build Machine Learning based Smart Android & IOS Applications in Flutter Use Image Classification & Object Detection Models With Images In Flutter Use Image Classification & Object Detection Models With Live Camera Footage in Flutter Learn to collect & organize datasets for training ML models for Flutter App Development Build a portfolio of beautiful Machine Learning based Flutter apps This course is ideal for individuals who are Anyone who want to train custom Image Classification & object Detection models for mobile applications with no previous knowledge of ML & AI or Beginner Flutter Developers who want to build Machine Learning based Flutter Applications or Intermediate Flutter Developers who want to enhance their skillset and train custom ML models for Android & IOS or Experienced Flutter Developers who want to boost their Flutter App Development Career by learning ML & AI use in Flutter It is particularly useful for Anyone who want to train custom Image Classification & object Detection models for mobile applications with no previous knowledge of ML & AI or Beginner Flutter Developers who want to build Machine Learning based Flutter Applications or Intermediate Flutter Developers who want to enhance their skillset and train custom ML models for Android & IOS or Experienced Flutter Developers who want to boost their Flutter App Development Career by learning ML & AI use in Flutter.
Enroll now: Train Object Detection & Image Classify models for Flutter
Summary
Title: Train Object Detection & Image Classify models for Flutter
Price: $69.99
Average Rating: 4.2
Number of Lectures: 64
Number of Published Lectures: 64
Number of Curriculum Items: 64
Number of Published Curriculum Objects: 64
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
- Train Custom Image Classification & Object Detection Models for Flutter
- Build Machine Learning based Smart Android & IOS Applications in Flutter
- Use Image Classification & Object Detection Models With Images In Flutter
- Use Image Classification & Object Detection Models With Live Camera Footage in Flutter
- Learn to collect & organize datasets for training ML models for Flutter App Development
- Build a portfolio of beautiful Machine Learning based Flutter apps
Who Should Attend
- Anyone who want to train custom Image Classification & object Detection models for mobile applications with no previous knowledge of ML & AI
- Beginner Flutter Developers who want to build Machine Learning based Flutter Applications
- Intermediate Flutter Developers who want to enhance their skillset and train custom ML models for Android & IOS
- Experienced Flutter Developers who want to boost their Flutter App Development Career by learning ML & AI use in Flutter
Target Audiences
- Anyone who want to train custom Image Classification & object Detection models for mobile applications with no previous knowledge of ML & AI
- Beginner Flutter Developers who want to build Machine Learning based Flutter Applications
- Intermediate Flutter Developers who want to enhance their skillset and train custom ML models for Android & IOS
- Experienced Flutter Developers who want to boost their Flutter App Development Career by learning ML & AI use in Flutter
Welcome to the world of Machine Learning based Flutter App Development. This comprehensive flutter course is designed to teach you to
-
Train Custom Image Classification & Object Detection Models for flutter
-
Use these models in Flutter to build powerful Android & IOS Applications in Flutter
So this course will help you to become a confident Flutter developer, capable of building full-stack Machine learning-based Flutter apps using clean code techniques
Instructor Introduction
My name is Muhammad Hamza Asif and I am a mobile machine learning instructor and AI entrepreneur. Over the last five years, I taught the use of Machine learning and computer vision in mobile applications to over 50,000 students
Image Classification & Object Detection Introduction
Image classification is the process of recognizing different entities or things in images or video. We can train image classification models to recognize different breeds of dogs, detect different types of flowers, and perform other such tasks. On the other hand object detection models are used to locate and recognize different objects in images and videos. So apart from recognizing different objects, we can also detect the location and count of different objects using these models
What You Need To Start
And to start this course you don’t need any background knowledge of Machine Learning & AI. You just need a very little knowledge of app development in Flutter to start this course
Why You Should Take This Course
So this course will empower your resume and give your Flutter app development career a new boost as the use of ML & AI in Flutter app development is increasing but there are very few developers with the skills to build such Flutter applications
Course Curriculum:
We will start with a basic introduction to Image Classification and object detection models. After that, we will learn about their uses in Mobile Applications for making life easy
Data Collection & Preparation
After learning the basics of Image Classification and Object Detection we will learn to train our custom image classification and object detection models from scratch. For that purpose, Firstly we will learn to collect & prepare the dataset for training our custom models. So for training these models, our dataset consists of images of things or objects that we want to detect and recognize. So you will learn to collect images and format them in a way so that we can easily train our custom models for Flutter Applications
Model Training
After preparing our dataset you will learn to train your custom models for flutter using two different approaches. So firstly we will use a drag-drop tool to train our custom model with just a few clicks. Secondly, we will train our custom model using Python code which we will in Google Colab.
Model Testing & Conversion into Tensorflow Lite
After training our models we will test them to check their performance and learn about different metrics which indicate the performance of our models. After if models are not trained well then we can retrain them by changing the values of a few variables to get more accurate models. After testing our models we will convert these models into tflite(Tensorflow Lite) format so that later we can use them in Flutter With both Images and live camera footage
Choosing or Capturing Images In Flutter
After model training, we will build our first Flutter application in which we will learn to choose images from from gallery or capture images using the camera in Flutter. And we will build this application so that we can use our Image Classification and object detection models in Flutter with images of the Gallery and Camera
Displaying live Camera Footage In Flutter
Then we will learn to display the live camera footage in Flutter so that later we can pass frames of that live camera footage to our image classification and object detection models and build our real-time ML-based application in Flutter
Image Classification In Flutter
In this section, we will learn to use our own trained Image Classification models in Flutter with both Images and live camera footage in Flutter
So firstly we will build our image classification with images application. And in this application users can choose images from the gallery or capture them using the camera. Then those images will be passed to image classification models and we show the results returned by the models to the user on screen
Secondly, we will build our real-time image classification application in Flutter. So in that application, the user can recognize items by just pointing the camera at them in real time
Object Detection In Flutter
After learning to use Image classification models in Flutter we will build our object detection applications in Flutter. So firstly we will build our object detection with images application. So in this application, the user will choose images from the gallery or capture them using the camera. After that will pass those images to object detection models to detect their location and then to recognize those detected objects we will use our custom image classification models. So will combine the power of object detection & image classification models in Flutter to build our custom object detection applications
Secondly, we will build our real-time object detection in Flutter. In that application, users can recognize and locate objects in real time using live camera footage.
So after completing this course, You will be able to
-
Train your custom models to detect and recognize anything
-
Use the Image classification model in Flutter with both images and the live camera footage
-
Use Object Detection models in Flutter with both Image and Live Camera Footage
-
Collect and organize datasets for training models with just a few clicks
-
Build standalone recognition applications in Flutter for Android and IOS
Don’t just take my word for it, see what my past students had to say about my courses:
TAYAB FAROOQ: “The most beautiful and concrete course on Machine Learning and Flutter, I ever found in the world of internet! Everything is explained in detail. He wrote very robust code throughout the course. This course is well-updated!”
Volkan Usanmaz:“All clear! Very well explained. A good machine learning course for Mid Flutter Framework developers.”
Partha Sarathi Haldar:“Great Experience. This is exactly what I was looking for. Thank you so much.”
Azam: “Perhaps the best app i created in 3 hours. Extremely happy and recommend it if you want to learn the use of Dalle and chatgpt in flutter”
James: “Started the course as a beginner but found it easy to follow it. Covered first few section for now looking forward to more interesting and value content. But for now i will recommend it for sure.”
Why Enroll in This Course:
-
Comprehensive Learning: Acquire in-depth knowledge in both image classification and object detection & their use in flutter apps
-
Suitable for All Levels: Whether you’re a beginner or an experienced developer, this course is designed to meet your needs
-
Career Advancement: Open up exciting career opportunities in a rapidly evolving field
-
Lifetime Access: Gain lifetime access to the course materials, allowing you to revisit and reinforce your knowledge whenever you need it
Don’t miss out on the chance to become a proficient developer in the exciting world of image classification and object detection for Flutter. Enroll now and embark on your journey to creating innovative, intelligent applications.
Join us today and start building the future of Flutter applications with advanced image classification and object detection techniques!
So what are you waiting for? Join the course now to build Machine Learning based Flutter Applications.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: Course Curriculum
Lecture 3: Image Classification Introduction & Applications
Lecture 4: Object Detection Introduction & Applications
Chapter 2: Training Our First Image Classification Model for Flutter in 20 mins
Lecture 1: Section Introduction
Lecture 2: Dataset Collection Introduction
Lecture 3: Downloading Dataset for Training our first Image Classification Model
Lecture 4: Training Our First Custom Image Classification Model for Flutter
Lecture 5: Testing Our Own Trained Model and Converting it to tflite format
Lecture 6: Hyperparameter tuning: Improving Model Accuracy
Lecture 7: Google Colab Introduction
Lecture 8: Attaching Metadata With a Trained Tensorflow Lite Model
Chapter 3: Training Models for Flutter Using Transfer Learning in Google Colab
Lecture 1: Section Introduction
Lecture 2: Uploading dataset on drive for model training
Lecture 3: Uploading model training code and importing libraries in Colab
Lecture 4: Loading dataset in python and doing train, test & split
Lecture 5: Training Image Classification Model using Transfer Learning
Lecture 6: Testing Model and converting it to tflite format
Lecture 7: Hyperparameter tuning: Improving model accuracy
Lecture 8: Training EfficientNet Model using transfer learning for Flutter
Lecture 9: Training Custom Models for Flutter Applications Overview
Chapter 4: ImagePicker Flutter: Choosing or Capturing Images in Android & IOS
Lecture 1: Creating a new Flutter Project and building GUI of ImagePicker Application
Lecture 2: Adding Libraries and doing Android & IOS configuration in Flutter
Lecture 3: Choosing Images From Gallery in Flutter
Lecture 4: Capturing Images using Camera in Flutter
Lecture 5: Testing ImagePicker Flutter Application
Lecture 6: ImagePicker in Flutter Overview
Chapter 5: Using Image Classification Models in Flutter With Images
Lecture 1: Section Introduction
Lecture 2: Setting up Image Classification with Images Flutter Project
Lecture 3: Adding libraries and setting up Android & IOS
Lecture 4: Performing Image Classification in Flutter With Images
Lecture 5: Using our custom trained image classification models in Flutter with Images
Lecture 6: Using our trained MobileNet model in Flutter
Lecture 7: Android Additional Step
Lecture 8: Image Classification in Flutter with Images Overview
Chapter 6: Displaying live camera footage in Flutter
Lecture 1: Creating a new Flutter project and setting up libraries
Lecture 2: Displaying live camera footage in Flutter for Android and IOS
Lecture 3: Realtime Flutter Overview
Chapter 7: Realtime Image Classification in Flutter
Lecture 1: Importing starter application for realtime Image Classification in Flutter
Lecture 2: Android & IOS configurations for realtime Image Classification with Flutter
Lecture 3: Converting frames of live camera footage into Inputimage
Lecture 4: Processing frames of live camera footage in realtime in Flutter
Lecture 5: Testing Realtime Image Classification Flutter Application
Lecture 6: Using our own trained Image Classification model in Flutter with live feed
Lecture 7: Testing Realtime Custom Image Classification Application
Lecture 8: Realtime Image Classification in Flutter Overview
Chapter 8: Object Detection In Flutter With Images
Lecture 1: Section Introduction
Lecture 2: Setting Up Object Detection in Flutter Project
Lecture 3: Making Configurations for Android & IOS to perform Object Detection in Flutter
Lecture 4: Creating Object Detector in Flutter
Lecture 5: Performing Object Detection In Flutter With images
Lecture 6: Drawing Rectangles Around Detected Objects in Flutter
Lecture 7: How Rectangles are being Drawn Around Detected Objects
Lecture 8: Using Custom Image Classifier With Object Detector In Flutter
Lecture 9: Testing Custom Object Detection Flutter Application
Chapter 9: Realtime Object Detection In Flutter
Lecture 1: Setting up realtime object detection flutter application
Lecture 2: Displaying live camera footage in Flutter and getting frames
Lecture 3: Performing object detection in flutter live camera footage
Lecture 4: Drawing rectangles around detected objects in realtime
Lecture 5: Testing Realtime Object Detection Application
Lecture 6: Using custom image classification model with object detection model
Lecture 7: Testing realtime object detection application with our custom models
Lecture 8: Object Detector Painter
Lecture 9: Realtime Object Detection in Flutter Overview
Instructors
-
Mobile ML Academy by Hamza Asif
ML & AI based Flutter, Android, IOS & React Native Courses
Rating Distribution
- 1 stars: 2 votes
- 2 stars: 0 votes
- 3 stars: 0 votes
- 4 stars: 9 votes
- 5 stars: 13 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
You may also like
- Top 10 Video Editing Courses to Learn in November 2024
- Top 10 Music Production Courses to Learn in November 2024
- Top 10 Animation Courses to Learn in November 2024
- Top 10 Digital Illustration Courses to Learn in November 2024
- Top 10 Renewable Energy Courses to Learn in November 2024
- Top 10 Sustainable Living Courses to Learn in November 2024
- Top 10 Ethical AI Courses to Learn in November 2024
- Top 10 Cybersecurity Fundamentals Courses to Learn in November 2024
- Top 10 Smart Home Technology Courses to Learn in November 2024
- Top 10 Holistic Health Courses to Learn in November 2024
- Top 10 Nutrition And Diet Planning Courses to Learn in November 2024
- Top 10 Yoga Instruction Courses to Learn in November 2024
- Top 10 Stress Management Courses to Learn in November 2024
- Top 10 Mindfulness Meditation Courses to Learn in November 2024
- Top 10 Life Coaching Courses to Learn in November 2024
- Top 10 Career Development Courses to Learn in November 2024
- Top 10 Relationship Building Courses to Learn in November 2024
- Top 10 Parenting Skills Courses to Learn in November 2024
- Top 10 Home Improvement Courses to Learn in November 2024
- Top 10 Gardening Courses to Learn in November 2024