Google released a limited preview of Google Cloud Vision API in December 2015, using which developers can now develop powerful applications that will be able to see as well as understand the images. Now we can submit the image to Cloud Vision API that will understand the content from images. It will detect common objects (cars, dogs, cats, etc.), read text within images, and recognize product logos.
Google released the Beta of Google Cloud Vision API on February 18, 2016, allowing developers to access it with images stored in Google Cloud Storage.
This service will assist developers in integrating image identification and classification features into their applications seamlessly. The Cloud Vision API incorporates models developed through advances in machine learning, providing an easy-to-use REST API. This API swiftly categorizes images into various categories (like Lion, ship, Great Wall of China), recognizes printed words in multiple languages, and identifies faces with corresponding emotions. It also allows to build moderately offensive content and develop metadata on image catalogue.
Following are Google Cloud Vision API features that can be applied in any composition on an image:
Optical character Recognition – retrieves text from image.
Entity/Label Detection – recognises prominent entity from an image among broad set of categories of entities.
Facial Detection – detects faces in the image with associated features like nose, eye and mouth positions and over 8 emotional attributes like joy and sorrow.
Logo Detection – identifies product logos in an image.
Safe Search Detection – detects in appropriate content powered by Google SafeSearch.
Landmark Detection – identifies popular structures with associated latitude and longitude of structures.
All developers have access to the Beta release, offering API access with image location in Google Cloud Storage.
In this beta period, Google is going to restrict users till a quota of 20 million images per month.
The Cloud Vision API will empower robots, drones, and apps with remarkable understanding efficiency and image recognition functionality.
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