The Google Cloud Vision API enables developers to understand the content of an image by encapsulating powerful machine learning models in an easy to use REST API. It quickly classifies images into thousands of categories (e.g., "sailboat", "lion", "Eiffel Tower"), detects individual objects and faces within images, and finds and reads printed words contained within images. You can build metadata on your image catalog, moderate offensive content, or enable new marketing scenarios through image sentiment analysis. Analyze images uploaded in the request or integrate with your image storage on Google Cloud Storage.
Recent technology backed by machine learning is making it possible to recognize people and objects from images, videos, sounds, body parts, speech, phrases, characters, even typing. Developers can find over two-hundred APIs for Recognition on ProgrammableWeb. Here are some top choices.
Google has announced that the Google Cloud Video intelligence API is now in public beta. The company also announced updates to its Cloud Vision API which includes increased label detection model vocabulary, improved text detection model, and the addition of Google Image Search-powered web detection.
As Machine Learning is making inroads into applications across consumer and enterprise domains, Google is pushing updates to its Machine Learning APIs via its advanced models that help analyze and make sense of images and videos.
Google Cloud Vision API gives developers access to powerful image processing and analysis tools for use in any project. This tutorial on Google Cloud Platform shows followers how to use the API to detect faces in an image, and use the returned coordinates to draw a polygon around each face.
Google has made several announcements including the launch of the Google Consumer Surveys API, the general availability of the Google Cloud Vision API with new features, the launch of Google Cloud CDN Beta, and the launch of Autodesk Maya. The APIs are available on the Google Cloud Platform site.
Google has opened their Cloud Vision API. When backed by their Machine Vision infrastructure, this API enables developer to give their applications vision capability. This article gives a high level overview of the API and a short tutorial for building an application that uses Google Cloud Vision.
Developers can get quick and simple access to sophisticated image recognition software thanks to Google’s Cloud Vision API. The tool leverages machine learning to identify the contents of images for classification across thousands of categories, and here it is used to determine traffic volume.
Eleven APIs have been added to the ProgrammableWeb directory in categories including Infrastructure-as-a-Service, Math, Tickets, and Contracts. Highlights today include the Google Cloud Vision API which recognizes and understands image content. Here's a rundown of the latest additions.