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Messages - Andrej.S.

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301
Yes, I can confirm it too.
A rejection orgy has struck me again despite retouche and downscaling.

Similar images that were already accepted last weeks are now being rejected with different concept ideas.
Really annoying since it's very time consuming to research keywords, which have not very much content yet.

Some small preview of content, which I try to submit:
https://ibb.co/GvkTpmJ
https://ibb.co/DkHHjmH
https://ibb.co/YZSDNvR

I mean, yeah sure it is not perfect but I am not gonna risk a really time consuming photo setup for such content stuff to get 5$ in the long run. Altough I would have done it 10 years ago.

I will probably give up the image market completely and better learn skills for the video segment.

302
Declined files that I reprocessed by upsizing with stable and uploaded in smaller size have now been accepted.

@ andrej

The reason. agencies will need content produced by regular contributors with ai is the same they want it for photos - they need an amazing diversity of content and subjects from the entire planet.

You cannot do research on EVERYTHING and just work with paid artists who do work for hire jobs.

It is much easier to have masses of uploaders, pick and choose what you need for different customer groups.

If the "free image" sites did not replace us, neither will ai.

I do think agencies will work with specialized ai producers more closely for elite collections. In the same way they do it with photos now.

There are collections at all kind of price points and licensing. types.

Also...for ai training agencies will keep needing huge amounts of freshly uploaded content, maybe even more than before.

You make valid arguments that I would like to respond to.

[1. Photo providers with free images haven't ruined the microstock market yet]

In my opinion, the reason for this is because many users would have used these free, some very professional photos from for example unsplash, but they heard and found out that there are many black sheep, who try to rip-off users through expensive warning letters from lawyers with whom they cooperate.
So they rather invest 2 to 5$ for an image on providers like Adobe to avoid copyright infringements and have quiet nights without insomnia.

[2. Agencies will need content produced by regular contributors]

Absolutly right. But they neither need millions of new images, which are copycats of historic generic bestsellers or content, which obvious won't find any or very few customers. With AI it is extremly easy to generate mass of such copys.

I don't believe they will need every content and subjects on the earth.
They will even more need creative concepts of current trends like diversity, sustainability, environmental awareness, home office work, ethical consumption or new coming global trends. I can't imagine they still need the million and one easter background or close up of a cocktail on a beach bar.

And that is exactly the bridge to:
[3. Agencies will work with specialized ai producers more closely for elite collections]

That's actually roughly what I meant.
First they will try to work more together with skilled photographers, who can produce elite content, which can't be generated by AI.
And second for sure with a small fraction of very skilled AI contributors, who can create very original content with professional image und retouche editing.

[4. It is much easier to have masses of uploaders, pick and choose what you need for different customer groups]
In earlier times, before the mass flood of images, absolutely yes.
But nowadays it's becoming increasingly difficult to pick out exceptional good images from the masses.
That's why it would only make sense to concentrate on contributors (point 3) who provide on usual very demanded content.

[5. Agencies will keep needing huge amounts of freshly uploaded content for ai training]
This is an interesting and valid argument. Probably they will accept in future only content, which can increase the quality of the AI generator.
That would be rather specific motifs.
Or they could resell their storage with unwanted stuff, which haven't been sold for years in the past, to smaller tech companys, who want to develop own AI models and avoid copyright infringements. This could also be an additional source of income for the agencies.

@ Back to topic:
The resolution has also an impact of the acceptance ratio.
I upscale now the AI images first 4x, retouche obvious artefacts or generative errors and scale down by approx 0.6 to max. 0.75. The max. resolution is then 5376 x 3072 pixel.
I believe most time the problem is the upscale noise, generated by Topaz AI. Upscayl seems to generate less noise but the images are sometimes over-sharpened.

303
I am now using stable diffusion for upsizing instead of gigapixel ai. Apparently what I always thought were interesting texture details added by gigapixel are in fact just artifacts. Nice looking, but still artifacts.

Also uploading in much smaller sizes than before.

By the way, I think the customers are using the ai filter to specifically look for ai content. Because the Adobe collection has a lot of very beautiful and creative things.

40% of my time is just research and the Adobe collection looks a lot better than all the other places offering the same old same old.

I hope ai agencies are forced to pay licensing fees, but until then I will get my dues by creating content,  selling and earning  as a revenge for stealing my 10 000 files for training without permission

It's not worth worrying. You can't change the current market development.
Even macrostock provider like Getty are doing the same:
https://www.theverge.com/2023/9/25/23884679/getty-ai-generative-image-platform-launch

Getty did a cooperation with Nvidia to develop an own AI image generator, which was trained with Getty's image data base.
The contributors will receive peanuts as compensation.

I can understand it from a market economy perspective.
For the providers, paying less commission (current 15 to 50% of the sales) to the contributors is extremely high saving in the long term.
And look at the first results. They seem to have the potential to outperform Midjourney and Stable Diffusion.
In addition, they prevent the prompting of protected content or famous personalities in order to avoid copyright infringements.

I can even imagine Getty opening a program in the future to hire selected photographers to provide specially needed training material for future model generations.
I mean, why would you still need the mass of contributors in the future?

I'd rather invest more the time in the analysis of market niches or switch to other content media like video right away.

But back to the topic:
Yes, Adobe is much more strict on new high batch volumes of generated AI content.
And the volume of the batches has also an influence on review time or strictness.

Small batches with 1 to 3 images seem to be much faster reviewed (sometimes even in 15 to 30 minutes) im comparison to batches with 100+ files and sometimes are less strict reviewed.
I can imagine that some reviewer are really pissed of seeing batches of thousand of files with all the same stuff. But they probably can't just mark the contributors as spammers.

304
Just for comparison, what percentage of real photos have been sold from the entire collection?

AI in so much alike and so many that more of the same helps no one. Not us or the agency. When does Adobe say, enough is enough? At 66 Million or when the new images change nothing for the volume of downloads? There has to be a wall.

According to the Adobe search engine in total around 194 million of the 242 million classic photos and illustrations were never sold.
This corresponds to a share of almost exactly 80%.
Conversely, 20% were sold at least once.
In my view, this is a plausible result and can often be observed as the Pareto principle in markets with very unequal concentration distributions.

It is possible that the AI images will sell better in the future after there has been a market shakeout of the bad skilled contributors.
But I'm also very curious to see whether Adobe will close the floodgates for AI content this year.
I can't imagine that they can manage 2 to 3 million new images every few weeks in the long term.
I also fear that the ranking and keyword order will suffer damage. There are so many images either with the wrong tags or in the wrong categories.

All in all I am surprised that nobody tries to individualize the Midjourney image look with own filters.
It's like a collective frenzy at the moment, who can generate more content.

305
We have now reached over 33 million AI photos and illustrations on adobe stock.
Of these, less than 3 million have been sold, which corresponds to a share of just 7%.

The majority is therefore literally data garbage that has no buyers.

@Cobalt
I think that there will no longer be a market for generic motifs (people, life style, interior, etc.) and that this will be completely replaced by the stock providers' own AI models.

Where there is still some market potential are only niches, where AI can't produce high detailed images without errors.
Contributors like https://stock.adobe.com/de/contributor/205024019/ipopba are now melking for short future the current demanded niches.

Some successful contributors specialized on generic motifs have already switched to the video market in time.

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