Cool project, any specific reason you went with YOLOv7?

I know you aren't going to release the dataset but I'd be interesting in any info you are willing to share on augmentations you used and how you generated the synthetic imagery, and what sort of lift you got out of it.

Some of the design choices of YOLOv7 make more sense to me in the choices of default augmentations and the structures of the very large versions of the networks. I find I can push it to marginally better recall. It’s slower than Ultralytics’ V8 but if you want to do stuff like offline processing of satellite imagery for instance or get 1fps on occupancy of a parking lot that kind of performance really doesn’t matter.

It would be interesting to know what other solutions exist in this space and why they weren’t chosen.

I know of at least one, GeoMesa, which seems like it could at least provide the building blocks to achieve what they are trying to do.

There's a long of study on the subject (that I've only surveyed). See my comment https://news.ycombinator.com/item?id=39792884

Next.js, material-ui, trpc

Most of what you need to get something functional and not totally ugly, not a lot that you don’t.

In this case the correct analogy would be you brought a stolen painting into your house, looked at it for a while, and then produced your derivative work.

Surely you see the issue here? Receiving stolen property?

Yes, I acknowledged that piracy is illegal in my previous post. That's not what the lawsuit is about, according to The Verge:

>In the OpenAI suit, the trio offers exhibits showing that when prompted, ChatGPT will summarize their books, infringing on their copyrights.

That serves as evidence that the model has seen the material, and the only way the model could have seen the material is if it was pirated.

You're missing the bigger picture[1]:

  Numerous questions of law or fact common to each Class arise from Defendants’ conduct:
    whether ChatGPT itself is an infringing derivative work based on Plaintiffs’ copyrighted books;
    whether the text outputs of ChatGPT are infringing derivative works based on Plaintiffs’ copyrighted books;

It's not a simple case of "you used our copyrighted materials", it's "you're infringing on our copyright by producing works derived from materials that you used."

1. https://llmlitigation.com/pdf/03223/tremblay-openai-complain...

That assumption is the reason why it's a shady argument for infringement. There's other ways to get a summary of a book than reading it, like asking a friend who's read it to give a summary

What would you use instead?

You can use hey with your own domain now: https://www.hey.com/custom-domains/

I think in practice you might use something like https://h3geo.org/docs/

While he doesn't call it out these ideas mirror Clayton Christensen's Jobs To Be Done. For people who are interested in this concept that would probably be a good place to start looking, as there are a lot of articles and related resources under that name.

Found it: https://hbr.org/2016/09/know-your-customers-jobs-to-be-done

It was good read.

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The Innovator's Dilemma has a ton of examples of this.