Course Information
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Course Overview
Train Custom Image Recognition Models & Use Them in Flutter Apps with Images and Real-Time Video - Smart Apps in 2025
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
Course Content
- 15 section(s)
- 65 lecture(s)
- Section 1 Introduction
- Section 2 Machine Learning & Deep Learning for Flutter
- Section 3 Data Collection - Collecting Dataset for Training Image Classification Model
- Section 4 Train Your First Custom Image Classification Model in 25 Minutes
- Section 5 Training Custom Image Classification Model with Transfer Learning
- Section 6 Training Brain Tumor Classification Model
- Section 7 Flutter App Development
- Section 8 Setup for MacOS
- Section 9 Setup for Windows
- Section 10 Image Picker - Choose or Capture Images in Flutter
- Section 11 Image Labeling / Classification in Flutter With Images
- Section 12 Image Classification With Your Custom Trained Model
- Section 13 Displaying Live Camera Footage in Flutter
- Section 14 Realtime Image Classification in Flutter
- Section 15 Using Custom Trained Image Classification Models with Live Camera Footage
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
Skills covered in this course
Reviews
-
PProgress Thapa
good
-
DDandy
hey how to connect my custom model its not working
-
AAmy Stone
Excellent course, just had to figure out some of the settings within gradle, dependencies etc with regards to later versions. Took a bit of extra time but can see the difficulty with supporting the absolute latest releases.
-
AArif Can Gök
çok başarılı değil , sadece yol gösterici olabilir öyle ahım şahim bir içerik yok. İdare eder