Lynda - Google Cloud Vision API by Example

[ FreeCourseWeb.com ] Google Cloud Vision API by Example



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MP4 | Video: AVC, 1280x720 30 fps | Audio: AAC, 48 KHz, 2 Ch | Duration: 1h 9m

Skill Level: Intermediate | Genre: eLearning | Language: English + Subtitles | Size: 189 MB



Google Cloud Vision API encapsulates powerful machine learning models in an easy-to-use REST API, allowing developers to leverage the power of machine learning without needing to train models of their own. Vision API gives you the power to annotate your images and text, detect objects and faces, automatically identify product logos and landmarks, and more. In this hands-on course, instructor Jonathan Fernandes helps you get up and running with this powerful product. Jonathan nstrates how to make calls to the API with Python and leverage services that allow you to extract text from images, detect labels and facial expressions, and work effectively with batches of images.



Topics include:



Detecting text with optical character recognition

Navigating through the Vision API documentation

How the Vision API can detect facial expressions

Detecting and extracting multiple objects

Preparing data for batch images

Working with JSON and Pandas



Use Winrar to Extract. And use a shorter path when extracting, such as C: drive



ALSO ANOTHER TIP: You Can Easily Navigate Using Winrar and Rename the Too Long File/ Folder Name if Needed While You Cannot in Default Windows Explorer. You are Welcome ! :)



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