Computer vision is an area of artificial intelligence that deals with visual perception. Azure AI Vision includes multiple services that support common computer vision scenarios.
COURSE OBJECTIVE:
Students will learn to,
• Analyze images
• Image classification with custom Azure AI Vision models
• Detect, analyze, and recognize faces
• Read Text in images and documents with the Azure AI Vision Service
• Analyze video
TARGET AUDIENCE:
– AI Professionals
– Database Professionals
COURSE PREREQUISITES:
Before starting this learning path, you should already have:
• Familiarity with Azure and the Azure portal.
• Experience programming with C# or Python. If you have no previous programming experience, we recommend you complete the Take your first steps with C# or Take your first steps with Python learning path before starting this one.
COURSE CONTENT:
Module 1: Analyze images
• Provision an Azure AI Vision resource
• Analyze an image
• Generate a smart-cropped thumbnail
Module 2: Image classification with custom Azure AI Vision models
• Create a custom Azure AI Vision classification model
• Understand image classification
• Understand object detection
• Train an image classifier in Vision Studio
Module 3: Detect, analyze, and recognize faces
• 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.
Module 4: Read Text in images and documents with the Azure AI Vision Service
• Read text from images using OCR
• Use the Azure AI Vision service Image Analysis with SDKs and the REST API
• Develop an application that can read printed and handwritten text
Module 5: Analyze video
• Describe Azure Video Indexer capabilities
• Extract custom insights
• Use Azure Video Indexer widgets and APIs
FOLLOW ON COURSES:
Not available. Please contact.