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Welcome to the module on Concepts of Computer Vision. In this module, we explore how machines interpret and understand visual information—replicating key aspects of human vision. Our discussion is organized into four main topics:
  1. Image Processing:
    Learn fundamental techniques to manipulate and enhance images, preparing them for further analysis with machine learning models.
  2. Convolutional Neural Networks (CNNs):
    Discover how CNNs—specialized neural networks—recognize patterns, shapes, and even complex objects within images.
  3. MultiModal Models:
    Understand how models that integrate multiple data sources, such as text and images, provide a richer and more comprehensive analysis.
  4. Azure Computer Vision Services:
    Explore Azure’s ready-made tools for object detection, facial recognition, and image analytics. These services streamline the process of building robust computer vision applications without extensive coding or model training.
This module is ideal for both beginners and intermediate users looking to enhance their understanding of computer vision and its practical applications.
By the end of this lesson, you will have a solid foundation in computer vision concepts and be well-prepared to develop your own application that can interpret and analyze visual data. Let’s get started with image processing!

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