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Image Processing, Computer Vision and Machine Learning

Image Processing
17
Apr

Duration:

8 days or  60 hours

Objective:

To make people understand the core concepts of AI, ML and on how to create application for real world problems.

prerequisites  :

Some basic programming skills, Algorithms understanding, exploratory skills

Detailed Coverage:

  • What is Machine Learning
  • Crash Course of Python Programming
  • Computer vision and image processing basics
  • Loading, Displaying and saving Images.
  • Drawing Operations.
  • Basic Image Processing
  • Kernals
  • Morphological Operations
  • Smoothing & blurring
  • Thresholding
  • Gradient &Edge Detection
  • Contours
  • Histograms
  • Image descriptors
  • Color Channel Statistics
  • Color Histograms
  • Haralick Texture
  • Local Binary Patterns
  • HOG
  • Key Point detection
  • Image classification and machine learning algorithms
  • K-Nearest Neighbors
  • Logistic Regression
  • Support Vector Machines
  • Decision Trees
  • Random Forest
  • K means Clustering
  • Computer Vision cases studies
  • Object tracking in video
  • Human detection
  • Face detection and recognition
  • Plant classification
  • Distance measurement
  • Drowsiness Detection
  • OCR
  • Automatic License Plate Detection
  • Sound Analysis

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Course Content

Total learning: / 1 quiz Time: 3 days

Instructor

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Free

Money-Back Guarantee, Condition Applied...

Includes

  • Real time virtual classess
  • Pre course reading material
  • Suppliment resources
  • Language: English
  • Certificate of completion

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Your Dream Course Is Only A Step Away




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Your Dream Course Is Only A Step Away




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Your Dream Course Is Only A Step Away




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