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Computer Vision and Image Processing course

Original price was: INR ₹14,998.00.Current price is: INR ₹7,499.00.

Overview

This course offers a deep dive into the world of computer vision and image processing, equipping participants with a robust understanding of both fundamental and advanced techniques. Students will start with the basics of computer vision, including image classification, object detection, and segmentation, and progress to more complex topics like facial recognition and the application of deep learning in visual data analysis. By the end of the course, participants will be skilled in using essential computer vision tools and methodologies

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Program Structure

Introduction to Computer Vision

  • Overview of Computer Vision and its Applications.
  • Key Concepts and Terminologies in Computer Vision.
  • Image Processing Basics.

Image Classification

  • Introduction to Image Classification.
  • Convolutional Neural Networks (CNNs).
  • Training CNNs for Image Classification.
  • Transfer Learning for Image Classification.

Object Detection

  • Basics of Object Detection.
  • YOLO (You Only Look Once) Algorithm.
  • Faster R-CNN (Region-Based Convolutional Neural Networks).
  • Implementing Object Detection Models.

Image Segmentation

  • Introduction to Image Segmentation.
  • Semantic Segmentation.
  • Instance Segmentation.
  • Using U-Net for Image Segmentation.

Facial Recognition

  • Understanding Facial Recognition.
  • Face Detection and Alignment.
  • Face Embeddings and Recognition.
  • Implementing Facial Recognition Systems.

Advanced Computer Vision with Deep Learning

  • Deep Learning Architectures for Computer Vision.
  • Implementing Advanced Models with TensorFlow and Keras.
  • Real-World Applications of Computer Vision.
Participant’s Eligibility

Participant’s Eligibility

  • Senior undergraduates and graduate students in Computer Science and related fields.
  • Professionals in IT, data science, and software development looking to enhance their computer vision skills.
Program Outcomes

Program Outcomes

  • Gain a solid understanding of computer vision and image processing principles.
  • Develop proficiency in image classification, object detection, and image segmentation.
  • Implement facial recognition systems and advanced computer vision models.
  • Master the use of key computer vision libraries such as OpenCV, TensorFlow, and Keras.
  • Apply computer vision concepts to real-world projects and scenarios.
  • Enhance Python programming skills for advanced computer vision tasks.
  • Complete practical coding exercises and projects demonstrating computer vision expertise.
  • Earn a certificate of completion recognized by industry leaders.

Certification

  • Upon successful completion of the workshop, participants will be awarded a Certificate of Completion, validating their skills and knowledge in advanced AI ethics and regulatory frameworks. This certification can be added to your LinkedIn profile or shared with employers to demonstrate your commitment to ethical AI practices.

Achieve Excellence & Enter the Hall of Fame!

Elevate your research to the next level! Get your groundbreaking work considered for publication in  prestigious Open Access Journal (worth USD 1,000) and Opportunity to join esteemed Centre of Excellence. Network with industry leaders, access ongoing learning opportunities, and potentially earn a place in our coveted 

Hall of Fame.

Achieve excellence and solidify your reputation among the elite!

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