Google Cloud Vision API by Example
Offered By: LinkedIn Learning
Course Description
Overview
Harness the power of machine learning with Google Cloud Vision API. Learn how to make calls to the API with Python and leverage key services to quickly gain insights from images.
Syllabus
Introduction
- Machine learning for images made easier
- What is Google Vision API?
- Getting started
- Testing setup
- Detect text with optical character recognition (OCR)
- Detect labels
- Working with Google Cloud Vision API documentation
- Facial expression detection
- Face detection
- Detecting multiple objects
- Challenge: Determine the landmark
- Solution: Determine the landmark
- Data preparation for batch images
- Creating the batch image request
- Working with JavaScript Object Notation (JSON)
- Working with Pandas
- Clean up
- Next steps
Taught by
Jonathan Fernandes
Related Courses
MongoDB for DBAsMongoDB University MongoDB for Node.js Developers
MongoDB University Web Engineering II: Developing Mobile HTML5 Apps
Technische Hochschule Mittelhessen via iversity Programming Mobile Services for Android Handheld Systems: Communication
Vanderbilt University via Coursera HTML, CSS, and Javascript for Web Developers
Johns Hopkins University via Coursera