Train Image Classification Models for Flutter Apps in Tensorflow Lite | Image Classification Flutter

Published: 02 August 2024
on channel: Mobile Machine Learning Academy

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Train Custom Image Classification Models from Scratch and build Machine Learning Powered Flutter Apps

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Course Resources: https://drive.google.com/file/d/1XtaZ...

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.

So join us to become proficient in Flutter app development and create cutting-edge mobile apps with image and video recognition capabilities using Dart.

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