This repo has been deprecated. All new work will be found at a given language's repo:
C# / .NET | Go lang | Java | Node.js | PHP | Python | Ruby
Note: The Android and IOS samples haven't been moved to the main Android and IOS sample repos yet.
Google Cloud Vision API examples
This repo contains some Google Cloud Vision API examples.
The samples are organized by language and mobile platform.
Language Examples
Landmark Detection Using Google Cloud Storage
This sample identifies a landmark within an image stored on Google Cloud Storage.
Face Detection
See the face detection tutorial in the docs.
Label Detection
See the label detection tutorial in the docs.
Label Tagging Using Kubernetes
Awwvision is a Kubernetes and Cloud Vision API sample that uses the Vision API to classify (label) images from Reddit's /r/aww subreddit, and display the labelled results in a web application.
Text Detection Using the Vision API
This sample uses TEXT_DETECTION Vision API requests to build an inverted
index from the stemmed words found in the images, and stores that index in a
Redis database. The resulting index can be queried to find
images that match a given set of words, and to list text that was found in each
matching image.
For finding stopwords and doing stemming, the Python example uses the nltk (Natural Language Toolkit) library. The Java example uses the OpenNLP library.
Mobile Platform Examples
Image Detection Using Android Device Photos
This simple single-activity sample that shows you how to make a call to the Cloud Vision API with an image picked from your device’s gallery.
Image Detection Using iOS Device Photos
The Swift and Objective-C versions of this app use the Vision API to run label and face detection on an image from the device's photo library. The resulting labels and face metadata from the API response are displayed in the UI.
Check out the Swift or Objective-C READMEs for specific getting started instructions.