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Prerequisites:

  • Certified Deep Learning Specialist CDLS

 

Training Program Description:

  • In this program, you will learn the underlying math and programming concepts that
    drive pattern recognition, object and image classification tasks, and object tracking systems. This program will cover the latest in deep learning architectures used in the industry, and you’ll combine current computer vision and deep learning techniques to power a variety of applications. With the practical skills you gain in this course, you will be able to program your own applications, extract information from any kind of image and spatial data, and solve real-world challenges.
  • This program is designed to enhance your existing machine learning and deep learning skills with the addition of computer vision theory and programming techniques. These computer vision skills can be applied to various applications such as image and video processing, autonomous vehicle navigation, medical diagnostics, smartphone apps, and much more. it will grow your deep learning and computer vision expertise and give you the skills you need to start applying computer vision techniques to real-world challenges and applications

 

Projects

  • This program is comprised of many career-oriented projects. Each project you build will be an opportunity to demonstrate what you've learned in the lessons. Your completed projects will become part of a career portfolio that will demonstrate to potential employers that you have skills in Computer Vision
  • One of our main goals at EAII is to help you create a job-ready portfolio of completed projects. Building a project is one of the best ways to test the skills you've acquired and to demonstrate your newfound abilities to future employers or colleagues. Throughout this program, you'll have the opportunity to prove your skills by building the following projects
  • Building a project is one of the best ways both to test the skills you’ve acquired and to demonstrate your newfound abilities to future employers. Throughout this program, you’ll have the opportunity to prove your skills by building the following projects:
  • Project 1:  Live Cartoon & Sketch App
  • Project 2:  Hand gesture recognition using convexhull defects
  • Project 3:  Find Road Lanes for self-driving cars
  • Project 4:  Goal Or Not
  • Project 5:  Finding Waldo
  • Project 6:  Real-Time Book Cover Detection
  • Project 7:  Author’s Books search
  • Project 8:  Emotion Recognition
  • Project 9:  Recognizing Multiple Images with YOLO
  • Project 10: Breast Cancer Segmentation
  • Project 11: Generate a Van Gogh’s style on your own image
  • Project 12: Generate new faces using GANs
  • Capstone Project

 

Program Duration: 9 Weeks

Program Language: English / Arabic

Location: EPSILON AI INSTITUTE | Head Office

 

Participants will be granted a completion certificate from Epsilon AI Institute, USA if they attend a minimum of 80 percent of the direct contact hours of the Program and after fulfilling program requirements (passing both Final Exam and Project to obtain the Certificate)

 

COURSE CONTENTS

1.Classic Computer Vision with OpenCV

  • Manipulate Images
    • Load, Display, Save Image
    • Read, Display, Capture from Camera and Save Video
    • Draw on Images (Line – Circle – Rectangle – Polygon & Text)
    • Cropping Image to get Region of Interest (ROI)
    • Splitting and Merging
    • Color Spaces
    • Affine Transformation
    • Perspective Transformations
  • Image Processing
    • Add – Subtract – Blend Images
    • Bit-wise Operations and Masking
    • Convolutions & Blurring
    • Thresholding Images
    • Morphological Transformations (Erode, Dilate)
    • Gradients and Canny Edge detection
    • All About Histograms
    • Project #1 – Live Cartoon & Sketch App
  • Image Segmentation
    • Introduction To Contours
    • Contour Features
    • Sorting Contours
    • Approximating Contours and Finding their Convex Hull
    • Matching Contour Shape
    • Project #2 – Hand gesture recognition using convex hull defects
    • Line Detection using Hough Lines
    • Circle Detection using Hough Circles
    • Project #3 – Find Road Lanes for self-driving cars
    • Project #4 – Goal Or Not
  • Object Detection
    • Project #5 – Finding Waldo
    • Corner Detection
    • SIFT, SURF, FAST, BRIEF, ORB
    • Feature Matching
    • Project #6 – Real-Time Book Cover Detection
    • Project #7 – Author’s Books search
    • Face, Eye, Car, Pedestrian Detection using HAAR Cascades

2.Deep Learning for computer vision

  • Calculus
  • Convolution and Pooling Layers
  • Data Augmentation
  • CNN Architectures (Alex net-Vgg-Resnet-Inception)
  • Transfer Learning
    • Project #8 – Emotion Recognition
  • Object detection (R-CNN, Fast R-CNN, Faster R-CNN, SSD, YOLO)
    • Project #9 – Recognizing Multiple Images with YOLO
  • Semantic Segmentation Using U-Net And Seg-Net
  • Instance Segmentation using Mask-R-CNN
    • Project #10 – Breast Cancer Segmentation
  • Generate Art with style transfer
    • Project #11 – Generate a Van Gogh’s style on your own image
  • GANS (Generative Adversarial Networks)
  • DCGAN
    • Project #12 – Generate new faces using GANs

 

3.CAPSTONE PROJECT

 

Download Certified Computer Vision Specialist CCVS Brochure PDF

     

     

    Course Curriculum

    No curriculum found !

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