Course Overview
TOPComputer vision is an area of artificial intelligence that deals with visual perception. Azure AI Vision includes multiple services that support common computer vision scenarios.
Scheduled Classes
TOP06/12/24 - GVT - Virtual Classroom - Virtual Instructor-Led | |
08/28/24 - GVT - Virtual Classroom - Virtual Instructor-Led | |
10/09/24 - GVT - Virtual Classroom - Virtual Instructor-Led | |
12/11/24 - GVT - Virtual Classroom - Virtual Instructor-Led |
Outline
TOPModule 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
Prerequisites
TOPBefore 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.
Who Should Attend
TOP- AI Professionals
- Database Professionals