Create computer vision solutions with Azure Cognitive Services
Created By
Microsoft via Microsoft Learn
- 0
- 4-5 hours worth of material
- Microsoft Learn
- English
Course Overview
- Module 1: Analyze images
- Provision a Computer Vision resource
- Analyze an image
- Generate a smart-cropped thumbnail
- Module 2: Analyze video
- Describe Video Analyzer for Media capabilities
- Extract custom insights
- Use Video Analyzer for Media widgets and APIs
- Module 3: Classify images
- Provision Azure resources for Custom Vision
- Understand image classification
- Train an image classifier
- Module 4: Detect objects in images
- 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
- 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
After completing this module, you will be able to:
After completing this module, you will be able to:
After completing this module, you will be able to:
After completing this module, you will be able to:
After completing this module, you rill be able to:
Course Circullum
- 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
Item Reviews - 3
Submit Reviews
This Course Include:
- 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
- Provider:Microsoft Learn
- Certificate:Not Avalible
- Language:English
- Duration:4-5 hours worth of material
- Language CC: