Image Recognition
Magnolia image recognition extends the search capabilities of the Find bar by automatically recognizing and tagging the content of image assets, allowing you to get more relevant results when searching.
What’s in an image?
How can Magnolia’s image recognition feature help your content editors? Consider the following example image that depicts the Mount Bromo volcano, a popular tourist attraction in East Java, Indonesia.
The image is used as a signature image for the Island hopping in Indonesia example tour in Magnolia’s
Travel Demo and is stored as an asset in the dam workspace.
Imagine the editor is at the beginning of the writing process. Only the tour’s title Island hopping in Indonesia has been chosen and now an image with a volcano would be useful to accompany the tour’s description.
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Would searching for the term volcano in the assets produce a result like this image?
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What would assist the editor in deciding whether an image is suitable for the story?
Image recognition and tagging
Magnolia’s image recognition feature automatically tags image assets in the dam workspace, helping you obtain a more informed view of the content of each asset stored in the workspace:
The tags are then available for use in any other Magnolia content app or your custom content apps (the Assets app is shown below):
Integration with Find Bar
Magnolia’s image recognition and tagging make it easy to search for specific images among your assets:
Recognition services
Magnolia integrates with Amazon Rekognition to offer advanced image recognition and generate a refined set of image tags.
The Image Recognition module can also be configured for use with any other image recognition solution through the ImageRecogniser interface.
Michael Day, https://www.flickr.com/photos/whoisthatfreakwiththecamera/2564067897