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Computer Vision: How AI Processes Images

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gowranga
Last Update November 13, 2024
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About This Course

This course looks into field of computer vision, focusing on how artificial intelligence processes and interprets visual data. Students will explore key concepts and techniques in computer vision, including image processing, object detection, and facial recognition. The course covers various AI models and algorithms used in computer vision applications, providing hands-on experience with popular frameworks and tools. By the end of the course, students will have a solid understanding of computer vision technologies and their modern use in areas such as security, healthcare, and autonomous systems.

Learning Objectives

Understand the fundamental concepts of computer vision and image processing
Learn how AI models and algorithms are applied to analyze and interpret visual data
Gain practical insight into developing computer vision applications using frameworks like OpenCV and TensorFlow
Explore advanced topics such as object detection, facial recognition, and image segmentation
Analyze the ethical implications associated with computer vision technologies being intertwined with government

Pre-requisites

  • Basic understanding of programming concepts
  • Completion of "Introduction to AI (Beginner)" or equivalent knowledge
  • Access to ChatGPT or Claude (API or frontend)

Target Audience

  • Students pursuing degrees in tech or AI
  • IT professionals looking to expand their skills
  • Individuals seeking to get more familiar with overall AI concepts
  • Data Scientists and analysts
  • Researchers
  • Cybersecurity specialists
  • Entrepreneurs and startup founders

Your Instructors

gowranga

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