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How about to experience all the power of AI-keywording?

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dam.everypixel.com:
The tariff scale of the Everypixel DAM was completely updated. Now, our neural network for keyword generation is available for everyone! You can use the computer vision to describe photos and videos and then upload it to the stock sites or receive metadata in CSV-format.

— Are you ready to try the AI-keywording? Use the Free plan. You will get a 3 GB file storage, 50 submits and 50 requests to AI-keywording. It’s totally free!

— On the Attribution plan, you will get a 30 GB file storage, 300 submits, 1000 requests to AI-keywording and the ability to connect two people to your account. It costs $6.99.

— On the Professional plan, you will get a 200 GB file storage, 1800 submits, unlimited requests to AI-keywording and the ability to connect two people to your account. It costs $12.99.

— On the Expert plan, you will get a 500 GB file storage, unlimited submits and requests to AI-keywording, plus the ability to create two projects and to connect three users to your account. It costs $34.99.

Try AI-keywording right now! Just sign up on dam.everypixel.com, it’s free :-)

pancaketom:
Sounds like a recipe for a lot more poorly keyworded spammed files.

(I have not tested this keyword generation service, it might in fact be very good, BUT judging by the quality of almost every other supposedly great machine learning AI thing I suspect a lot of mistakes - that is fine if you understand the language you are keywording in and correct accordingly, but if you can do that you probably don't need this tool anyway).

dam.everypixel.com:

--- Quote from: pancaketom on March 22, 2019, 11:53 ---Sounds like a recipe for a lot more poorly keyworded spammed files.

--- End quote ---

You can estimate the quality of AI-keywording on the demo page: labs.everypixel.com/api/demo

We trained our neural network to describe the objects on the dataset of keywords that commonly used on stock sites. That’s why it’s more relevance than results by similar services.


--- Quote from: pancaketom on March 22, 2019, 11:53 ---that is fine if you understand the language you are keywording in and correct accordingly, but if you can do that you probably don't need this tool anyway

--- End quote ---

Also, our tool will be helpful for native speakers too. According to our research, people usually pay attention to a smaller number of objects and their characteristics than a neural network. For example, somebody can forgive to describe the dominant colors or secondary persons. AI of Everypixel DAM will not forget :-)

Jo Ann Snover:
Interesting idea - I know why everyone would love to automate keyword generation - but it really isn't up to the job. At least my experiments with several of my own stock images showed that in terms of keywording as well is the "stock photo score" the tool doesn't really know enough about what it's looking at to be useful.

I ran through a couple of kitchen remodel images  and a couple of external shots of places where the important information was where it was in the world, not just what was in it. As these images have all been sold - in one case just shy of one thousand times across several agencies - I have an idea of what the important keywords actually are, primarily using SS's sales info that tells me the keywords often used for purchases.

In no case did the tool identify the place on the exterior shots and in the kitchen remodel cases, it missed all the key what-is-going-on elements and just picked up the filler - Residential Building, Home Interior, Architecture, Wood - Material...

In the case of one image, that was of an island ferry dock, it concluded that there was a Pipeline, a Factory, Construction Industry and Fuel and Power Generation - all totally incorrect. Plus it put the scene in Europe (it was off the west coast of the USA. Adding keywords like Nautical Vessel for boat may work with Getty's CV, but it's worse than useless elsewhere. No user types in these awkward terms and other sites don't translate them into the type of English real people speak.

Oh, and one of my really solid long-term sellers rated a stock photo score of 11.6%.

I think I tried enough different images to give the tool a fair evaluation, but I wouldn't use it.

ThinkingLouder:

--- Quote from: Jo Ann Snover on March 25, 2019, 10:01 ---Interesting idea - I know why everyone would love to automate keyword generation - but it really isn't up to the job. At least my experiments with several of my own stock images showed that in terms of keywording as well is the "stock photo score" the tool doesn't really know enough about what it's looking at to be useful.

I ran through a couple of kitchen remodel images  and a couple of external shots of places where the important information was where it was in the world, not just what was in it. As these images have all been sold - in one case just shy of one thousand times across several agencies - I have an idea of what the important keywords actually are, primarily using SS's sales info that tells me the keywords often used for purchases.

In no case did the tool identify the place on the exterior shots and in the kitchen remodel cases, it missed all the key what-is-going-on elements and just picked up the filler - Residential Building, Home Interior, Architecture, Wood - Material...

In the case of one image, that was of an island ferry dock, it concluded that there was a Pipeline, a Factory, Construction Industry and Fuel and Power Generation - all totally incorrect. Plus it put the scene in Europe (it was off the west coast of the USA. Adding keywords like Nautical Vessel for boat may work with Getty's CV, but it's worse than useless elsewhere. No user types in these awkward terms and other sites don't translate them into the type of English real people speak.

Oh, and one of my really solid long-term sellers rated a stock photo score of 11.6%.

I think I tried enough different images to give the tool a fair evaluation, but I wouldn't use it.

--- End quote ---

Where you find "using SS's sales info" that show the keywords used for purchases

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