![]() ![]() Click Add, browse and select the anyvision.lrplugin folder, and click Select Folder (Windows) or Add Plug-in (Mac OS).In Lightroom, do File > Plug-in Manager.zip and move it to a location of your choice. If this is a new installation, extract the folder anyvision.lrplugin from the downloaded.If you’re upgrading from a previous version of Any Vision, exit Lightroom and replace the existing anyvision.lrplugin folder with the new one extracted from the downloaded.(The newer cloud-focused Lightroom doesn’t support plugins.) Here’s an example of logo detection, where the logos are partially obscured but still recognized:Īnd here’s an example showing correctly recognized jersey numbers: Download and InstallĪny Vision requires Lightroom 5.7 or later, Lightroom CC 2015, or Lightroom Classic. Here’s an example showing labels, landmarks, face expression, and recognized text Cloud Vision has correctly located the photo within a few meters and extracted much of the visible text from the store signs and the granite plaque on the statue: ![]() Though you’ll have to get a Google Cloud key as well as an Any Vision license, Google’s pricing lets you analyze for free up to 212,000 photos in the first 12 months and then up to 1,000 photos every month thereafter.Ĭonsider similar services with different features and pricing. And you can translate the tags to more than 100 different languages.įind photos with similar visual content for example, find duplicates and near duplicates even if they’re missing metadata, are in different formats, or have been cropped or edited.Įxtract the numbers from athletes’ race bibs into metadata fields or keywords.Īny Vision uses Google Cloud Vision, the state-of-the-art machine-learning AI technology underlying Google image search. You can export the tags in photo metadata as keywords and GPS locations or in comma-separated text files. You can search these tags in Lightroom, making it much easier to find photos in large catalogs. Any Vision uses Google AI to tag automatically your photos with objects, activities, landmarks, logos, face expressions, and dominant colors and extracts embedded text (OCR).
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