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How much effort do you put towards images? Google's image recognition is unbelievable

Discussion in 'Black Hat SEO' started by macdonjo3, Mar 25, 2016.

  1. macdonjo3

    macdonjo3 Jr. VIP Jr. VIP

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    I was sitting in a lecture in my computer science web dev class, and we were talking about search engine optimization. One of the main topics was unique, relevant content. The lecturer really dove into images, and I really think it's a neglected area of discussion on the forum. I think images will get to the point where authority sites will not only hire content writers to generate unique articles but also hire an amateur photographer to run around and snap photos for all the articles. Stock image sites are okay, but 90% of the images are already published. Thoughts? Weigh in.

    This was published back in 2014 on Gizmodo.

    [​IMG]
     
  2. Bleght

    Bleght BANNED BANNED

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    Does Google expect unique images? The other option for having unique images besides the photographer is a designer or an illustrator. Many blogs employ the "tittle card" type images and it probably works well, produces unique images and makes the post look professional. I also remember a guy with a nice niche blog that was drawing stick figures himself as illustrations which was kind of unique and entertaining. But all of that is white hat. I'm sure someone could develop a filter that would differentiate a processed image enough, so that google doesn't recognize it anymore, but that would still leave the image "human-readable". That could be a next big thing. As we all know, if it's an algorithm, it can be gamed, so I'm expecting to find this out and about sooner or later.
     
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  3. asap1

    asap1 BANNED BANNED Jr. VIP

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    I don't think google would ever hurt people for using non unique images.

    Images being reused is pretty normal.
     
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  4. JustUs

    JustUs Power Member

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    I think that if you understand the algorithms used to detect images, then you are no concerned about whether said image is published or not.

    As an example, Microsoft's (Bing's) image recognition scales an image to 277 X 277 pixels, breaks the image into 20 slices, and then looks for edges in the slices.

    Understanding the algorithm also tells you how to defeat the algorithm.
     
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  5. Bleght

    Bleght BANNED BANNED

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    I wonder how Google does it.