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Edited by Dinesh Vishwakarma at 2019-04-20 11:17
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[br][/div][br]A new tool published by Google analyzes your images. The machine learning/artificial intelligence algorithm tells you what it thinks the image is relevant for.[br][br]This tool demonstrates Google’s AI and Machine Learning algorithms for understanding images. It’s a part of Google’s [a href="https://cloud.google.com/vision/overview/docs/"]Cloud Vision products[/a].[br][br][strong]Does Cloud Vision Tool Reflect Google’s Algorithm?[/strong][br][br]Most tools and search commands that Google offers have historically not reflected the algorithm that Google uses for rankings. So it’s likely this tool does not offer a glimpse into how Google ranks images.[br][br]However, it is a great tool for understanding how Google’s AI and Machine Learning algorithms can understand your image.[br][br][strong]What is the Google Image Tool?[/strong][br][br]The tool is a way to demo Google’s Cloud Vision API. Cloud Vision API is a cloud service that can allow you to add image analysis features to apps and websites.[br][br]The tool itself allows you to upload an image and it tells you how Google’s machine learning algorithm interprets it.[br][br][strong]These are seven ways Google’s image analysis tools classifies uploaded images:[/strong][br][br][ul][li]Faces[br][/li][/ul][ul][li]Objects[br][/li][/ul][ul][li]Labels[br][/li][/ul][ul][li]Web Entities[br][/li][/ul][ul][li]Text[br][/li][/ul][ul][li]Properties[br][/li][/ul][ul][li]Safe Search[br][/li][/ul][strong]Faces[/strong][br][br]The “faces” tab provides an analysis of the emotion expressed by the image. The accuracy of this result is questionable.[br][br]As you can see below, John Mueller is clearly smiling in the image but Google’s image analysis tool didn’t catch it.[br][br]
[br][br][strong]Objects[/strong][br][br]The “objects” tab shows what objects are in the image, like glasses, person, etc. This works very well.[br][br][strong]Labels[/strong][br][br]The “labels” tab shows details about the image that Google recognizes, like ears and mouth but also conceptual aspects like portrait and photography.[br][br][strong]Web Entities[/strong][br][br]This shows descriptive words that are associated with the image via the web. In the John Mueller image, a Taiwanese site copied this image from Search Engine Journal. This resulted in Chinese related meanings to be assigned to the meaning of the image.[br][br]
[br][br]The Web Entities tab shows you what the image’s web presence says about this image.[br][br]In the above image, there are references to DuckDuckGo and Google China. This is because a Taiwanese site copied the original image and used it in their article that had DuckDuckGo as part of the topic. [strong]The web content is reflected in this part of the image analysis. [/strong][br][br]If Google uses the web to understand what a particular image means. Google uses more than one criteria for understanding an image.[br][br]I find the Web Entities tab to be of particular interest. It shows how Google itself is interpreting what the image means by what is published online with that image.[br][br][strong]Properties[/strong][br][br]Properties are the colors used in the image.[br][br][strong]Safe Search[/strong][br][br]Safe search shows how the image ranks for unsafe content. The descriptions of potentially unsafe images are as follows:[br][br]Adult[br][br]Spoof[br][br]Medical[br][br]Violence[br][br]Racy[br][br][strong]Here’s another example:[/strong][br][br][strong]This is example demonstrates Google’s ability to read text:[/strong][br][br]
[br][br]Google has the ability to recognize text. Whether Google uses OCR for ranking purposes is an open question.[br][br]Google uses image captions, alt text, file name and the text surrounding the image in order to understand the image and use it for ranking purposes.[br][br]Google hasn’t revealed if they use text on images for ranking purposes. As you can see above, Google has the ability (through Optical Character Recognition), to read words in images.[br][br][strong]Takeaway[/strong][br][br]This is an interesting diagnostic tool for getting an idea of how Google might possibly understand your images. It could also give you a hint if maybe you might need to optimize the image better.[br][br][strong]Upload an image and see what Google thinks about your image:[/strong][br][br][br][a href="https://cloud.google.com/vision/docs/drag-and-drop"]https://cloud.google.com/vision/docs/drag-and-drop[/a][br][br][br][strong]Source[/strong][br][br][br]
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