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Submission GuidelinesHello,
After used the new "Image Recognition Tool" a few days, I think you could improve it :
> by adding the dimensional constraints in front of each of the pre-trained models,
> by adding a true tool to divide the training data correctly (in order to have an equivalent number of images for each of the labels)
> at least, allow the tool to use black & white images (I wanted to test it on the MNIST, but the tool tells me that it necessarily needs RGB images) ?
Question : do you in the future allow the user to choose between CPU or GPU usage ?
In any case, thank you again for this new tool, it is certainly perfectible, but very simple to use, and I sincerely think that it will allow a greater number of people to understand the many use cases made possible thanks to image recognition.
Thank you again
Kévin VANCAPPEL (France ;-))
Thank you again.
Kévin VANCAPPEL
I am aware that an Auto-Documenter tool is available in the Gallery, but that has not been maintained since 2020.
It would be great if Alteryx could have that as an added feature to the Designer as an option for end-users to utilize.
The breakdown of it can be done via XML parsing as such:
<Nodes>: Configuration of tools
<Connections>: The tools used
<Properties>: Workflow properties
Right now, the current workaround is for users to export their XML, and the internal Alteryx development team has to build another workflow that reads the XML accordingly + parses it to fit what is needed.
It would be better for Alteryx to build something more robust, and perhaps even include some elements of AiDIN which they are promoting now.