Google's Image Analysis - Easily detecting broad sets of objects on images

Posted on: May 9, 2018 – In: SEO

Google wants to broaden your horizons ”” and maybe put some “fake news” to rest ”” with its updated News app.

The company rolled out the new program during its I/O conference Tuesday. It uses artificial intelligence to show everyone a broad perspective on the same information, unlike, say, the Facebook News Feed, which varies wildly from person to person. In other words, a story about President Donald Trump and Iran may incorporate information from a number of outlets, but it will look the same to everyone who sees it. #googleio2018

I didn’t attend the event, instead I was watching online and being fascinated by new features and gadgets.

Here at #googleio2018! We’ll start live-blogging in about an hour so be sure to follow @WIRED for all the news pic.twitter.com/Yj3NWK0lM6

”” Lauren (@LaurenGoode) May 8, 2018

Somehow after falling in the rabbit hole, I came across this feature that made me think that how easy it is for your images to let down your website’s content quality, I run a few images through https://cloud.google.com/vision/ and the results are mind-blowing.

Intentionally I renamed this stock picture in Albanian and this is what it found out:

Labels:

Spice 64%

Harissa 60%

Superfood 59%

Flavor 58%

Bell Peppers And Chili Peppers 54%

Condiment 54%

Ketchup 50%

Web Entities:

Capsicum annuum var. acuminatum  0.95238

Jalapeño 0.76681

Chili pepper 0.7125

Spice 0.6517

Mexican cuisine 0.6093

Health 0.6032

Crushed red pepper 0.5827

Food 0.5632

Capsaicin 0.5345

Scoville Unit 0.513

Paprika 0.4668

Powder 0.4304

Eating 0.4297

Capsicum 0.14192

Capsicum annuum 0.0309

---

Pages with Matched Images

https://www.healthline.com/nutrition/8-benefits-of-cayenne-pepper

https://www.health.com/food/health-benefits-of-cayenne-pepper

https://www.drweil.com/diet-nutrition/cooking-cookware/cooking-with-spices-cayenne-pepper/

https://www.lneonline.com/hot-spicy-skin-care/

https://www.drweil.com/videos-features/videos/spices-with-dr-weil-cayenne/

https://www.shutterstock.com/search/cayenne+pepper

https://phlabs.com/cayenne-pepper-a-healthy-food-thats-worth-the-kick

https://www.ecodiva.co.za/healthy-benefits-of-cayenne-pepper/

Fully Matched Images

https://articles.mercola.com/sites/articles/archive/2017/07/22/why-spicy-foods-trigger-hiccups.aspx
https://www.mypettingzoo.com/can-dogs-eat-red-peppers/
https://www.healthline.com/nutrition/jalapeno-health-benefits
https://www.stylecraze.com/articles/effective-home-remedies-to-treat-dry-mouth/https://eat-brands.com/blogs/blog/benefits-of-cayenne
https://www.dotemirates.com/en/details/3398381?from=dot

Recipe Showcase

https://www.istockphoto.com/photos/cayenne-powder
https://www.stylecraze.com/articles/home-remedies-for-colon-cleansing/

Cayenne Pepper

Partially Matched Images

https://www.istockphoto.com/photos/cayenne-pepper
https://www.thriftyfun.com/Using-Cayenne-Pepper-for-Termites.html
https://www.shutterstock.com/search/cayenne+pepper+powder

Health Benefits of Cayenne Pepper

Safe Search:

Now imagine if you are using stock images on your blog or web and Google is raking you using these kinds of data as part of the raking system your SEO work would be destroyed.

Try it: https://cloud.google.com/vision/

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.

One Response to “Google’s Image Analysis – Easily detecting broad sets of objects on images”

1. Aisha says:

   March 7, 2023 at 10:10 PM

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