Train Image Classification Models for Flutter Apps in Tensorflow Lite | Image Classification Flutter
Train Custom Image Classification Models from Scratch and build Machine Learning Powered Flutter Apps
🚀 Get the full Train Image Classification Models for Flutter Course: https://www.udemy.com/course/train-im...
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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.
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