Published 10/2023
Created by Hamza Asif
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 64 Lectures ( 4h 46m ) | Size: 3.46 GB
Train custom Image Classification & Object Detection Model and use these models in Flutter With Images & Videos
What you’ll learn
Train Custom Image Classification & Object Detection Models for Flutter
Build Machine Learning based Smart Android & IOS Applications
Use Image Classification & Object Detection Models With Images In Flutter
Use Image Classification & Object Detection Models With Live Camera Footage
Learn to collect & organize datasets for model training
Build a portfolio of beautiful Machine Learning based Flutter apps
Requirements
Android Studio and Flutter is installed on your system
Although you can build iOS apps on a Windows computer with Flutter, if you want to test it, you will need a Mac.
Description
Welcome to the world of Machine Learning based Flutter App Development. This comprehensive course is designed to teach you toTrain Custom Image Classification & Object Detection ModelsUse these models in Flutter to build powerful Android & IOS Applications in FlutterSo 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 IntroductionMy 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 IntroductionImage classification is the process of recognizing different entities or things in images or video. Like we can train image classification models to recognize different breeds of dogs, detect different types of flowers, and perform another such tasks. On the other hand object detection models are used to locate and recognize different objects in images and videos. So apart from recognising different objects, we can also detect the location and count of different objects using these models.What You Need To StartAnd 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 CourseSo 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 & PreparationAfter 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 TrainingAfter 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 few clicks. Secondly, we will train our custom model using a python code which we will in Google Colab. Model Testing & Conversion into Tensorflow LiteAfter 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 FlutterAfter 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 FlutterThen 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 FlutterIn 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 realtime.Object Detection In FlutterAfter 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 realtime using live camera footage. So after completing this course You will be able to Train your custom models to detect and recognize anythingUse Image classification model in Flutter with both images and the live camera footageUse Object Detection models in Flutter with both Image and Live Camera FootageCollect and organize datasets for training models with just a few clicksBuild standalone recognition applications in Flutter for Android and IOSDon’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.”So what are you waiting for? Join the course now to build Machine Learning based Flutter Applications.
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