Computer Vision Building Image Recognition Systems: Leveraging AI to analyze and interpret visual da

Teach Machines to See-Master Computer Vision and Build Powerful Image Recognition Systems with AI!

From facial recognition and self-driving cars to medical imaging and augmented reality, Computer Vision is revolutionizing the way machines interact with the world. By enabling computers to see, analyze, and understand visual data, this field is unlocking new possibilities across industries.

"Computer Vision: Building Image Recognition Systems" is your practical, hands-on guide to harnessing AI for visual recognition. Whether you're a developer, data scientist, engineer, or tech enthusiast, this book provides the knowledge, tools, and step-by-step examples to help you create powerful computer vision applications from scratch.

In this essential guide, you'll learn how to:

• Grasp the fundamentals of computer vision and image processing

• Build image classification, object detection, and facial recognition systems

• Apply deep learning models such as Convolutional Neural Networks (CNNs) using TensorFlow and PyTorch

• Work with popular libraries like OpenCV and Keras

• Train models on large datasets and fine-tune for accuracy and speed

• Explore real-world applications in healthcare, retail, automotive, and security

Packed with clear explanations, real-world projects, and practical coding tutorials, this book equips you to build intelligent systems that can see, think, and act.

The next generation of AI sees the world-learn how to build it.