YoVDO

Create computer vision solutions with Azure AI Vision

Offered By: Microsoft via Microsoft Learn

Tags

Microsoft Azure Courses Computer Vision Courses Object Detection Courses Image Classification Courses Image Analysis Courses Face Recognition Courses

Course Description

Overview

  • Module 1: Analyze images
  • After completing this module, you will be able to:

    • Provision a Computer Vision resource
    • Analyze an image
    • Generate a smart-cropped thumbnail
  • Module 2: Analyze video
  • After completing this module, you will be able to:

    • Describe Video Analyzer for Media capabilities
    • Extract custom insights
    • Use Video Analyzer for Media widgets and APIs
  • Module 3: Classify images
  • After completing this module, you will be able to:

    • Provision Azure resources for Custom Vision
    • Understand image classification
    • Train an image classifier
  • Module 4: Detect objects in images
  • After completing this module, you will be able to:

    • Provision Azure resources for Custom Vision
    • Understand object detection
    • Train an object detector
    • Consider options for labeling images
  • Module 5: Detect, analyze, and recognize faces
  • After completing this module, you rill be able to:

    • Identify options for face detection, analysis, and identification
    • Understand considerations for face analysis
    • Detect faces with the Computer Vision service
    • Understand capabilities of the Face service
    • Compare and match detected faces
    • Implement facial recognition

Syllabus

  • Module 1: Analyze images
    • Introduction
    • Provision a Computer Vision resource
    • Analyze an image
    • Generate a smart-cropped thumbnail
    • Exercise - Analyze images with Computer Vision
    • Knowledge check
    • Summary
  • Module 2: Analyze video
    • Introduction
    • Understand Video Analyzer for Media capabilities
    • Extract custom insights
    • Use Video Analyzer widgets and APIs
    • Exercise - Analyze video
    • Knowledge check
    • Summary
  • Module 3: Classify images
    • Introduction
    • Provision Azure resources for custom vision
    • Understand image classification
    • Train an image classifier
    • Exercise - Classify images with custom vision
    • Knowledge check
    • Summary
  • Module 4: Detect objects in images
    • Introduction
    • Understand object detection
    • Train an object detector
    • Consider options for labeling images
    • Exercise - Detect objects in images with custom vision
    • Knowledge check
    • Summary
  • Module 5: Detect, analyze, and recognize faces
    • Introduction
    • Identify options for face detection analysis and identification
    • Understand considerations for face analysis
    • Detect faces with the computer vision service
    • Understand capabilities of the face service
    • Compare and match detected faces
    • Implement facial recognition
    • Exercise - Detect, analyze, and identify faces
    • Knowledge check
    • Summary

Tags

Related Courses

Clasificación de imágenes: ¿cómo reconocer el contenido de una imagen?
Universitat Autònoma de Barcelona (Autonomous University of Barcelona) via Coursera
Core ML: Machine Learning for iOS
Udacity
Fundamentals of Deep Learning for Computer Vision
Nvidia via Independent
Computer Vision and Image Analysis
Microsoft via edX
Using GPUs to Scale and Speed-up Deep Learning
IBM via edX