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Modelplace: AI Model Marketplace by OpenCV

modelplace.ai

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Re: Modelplace: AI Model Marketplace by OpenCV

#3

This seems like an attempt to cash in and steal the branding behind the library, OpenCV. (I realise now it's the actual authors of the libary.. I've become too jaded here).

>>Did you really name your company OpenCV? As in.. Open Computer Vision, which you know is an incredibly well-known brand for a 20-year old library, likely fundamental to most the libraries you're now trying to commission for in your market?

This looks deliberate because the Chief Scientist & President, Gary Bradski[1], created the OpenCV library that you refer to.[2]

[1] https://www.oreilly.com/pub/au/3270

[2] https://www.opencv.ai/#About-us

Re: Modelplace: AI Model Marketplace by OpenCV

#4
post #3

This seems like an attempt to cash in and steal the branding behind the library, OpenCV. (I realise now it's the actual authors of the libary.. I've become too jaded here).

>> Did you really name your company OpenCV? As in.. Open Computer Vision, which you know is an incredibly well-known brand for a 20-year old library, likely fundamental to most the libraries you're now trying to commission for in your market? This looks deliberate because the Chief Scientist & President, Gary Bradski[1], created the OpenCV library that you refer to.[2] [1] https://www.oreilly.com/pub/au/3270 [2] http…

Ah, well, that's fair. Egg on my face.

Re: Modelplace: AI Model Marketplace by OpenCV

#8
Weird, the account registration wouldn't work on my normal IP, claiming 'too many requests'

Worked fine on a VPN however (sorry, I know you probably don't like this).

After the account registration though, I did quite like trying out a couple models out on a couple frames of footage to see if the models would "work".

Re: Modelplace: AI Model Marketplace by OpenCV

#10
post #7
post #5

A lot of these models are open source, I wonder who would this product market towards?

The models have to be trained. Trained towards a given task.

And then once you have the weights you have to figure out what to do with them. Data science (training a good model) and engineering (deploying it as a service to be consumed by end users) are pretty distinct tasks.
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