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Train Image Classification Models, build Android Kotlin Apps

Last updated on December 28, 2024 7:59 pm
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Description

What you’ll learn

  • Train Custom Image Classification Models from Scratch & Convert models into Android compatible tensorflow lite format
  • Use Custom Image Classification Models in Android 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 Android
  • Train Custom Image Classification Models for Android using Two Different Approaches

Unlock the full potential of mobile app development with our comprehensive course on training custom image Recognition models and integrating them into Android 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 in Android Kotlin.

What You Will Learn:

  • Introduction to Machine Learning and Deep Learning: Start with the foundational concepts of machine learning, deep learning, and image Recognition to build a strong base for your journey.

  • Dataset Collection: Learn effective methods to collect and prepare datasets for training your image Recognition models.

  • Model Training Approaches: Train image Recognition 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.

  • Android Integration: Seamlessly integrate your models into Android apps:

    • Image Recognition : Choose or capture images in Android and use your models for accurate image recognition.

    • Real-Time Camera Footage: Display live camera footage in Android, 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 Recognition models tailored to your specific needs.

  • Seamlessly integrate your models into Android applications built with Kotlin.

  • Craft intelligent mobile apps that leverage real-time image recognition functionalities.

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

Enroll now and start your journey towards mastering Android and Image Recognition .

Who this course is for:

  • Beginner Android Developers looking to build Machine Learning Powered Android Apps
  • Anyone who want to train Image Classification Models and than use them in Android Apps
  • Android Developers looking to enhance their skills by learning to train and use image classification models in Android

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