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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
As you may be aware localisation is the adapting of computer software to regional differences of a target market, Internationalization is the process of designing software so that it can potentially be adapted to various languages without engineering changes.
The idea is to make Alteryx designer tool, the web help content and example workflows to be multilingual (Possibly with the use of "lic" language files or similar) Hopefully the sotware and tutorials will all be localised by crowdsourcing initiatives within the Alteryx community.
I sincerely believe this will help the tool get a lot of traction not in US and UK but in other parts of the world,
Highly likely Mandarin and Spanish would be the first two language versions...
Top languages by population per Nationalencyklopedin 2007 (2010)Language Native speakers(millions) Fraction of worldpopulation (2007)
Mandarin | 935 (955) | 14.1% |
Spanish | 390 (405) | 5.85% |
English | 365 (360) | 5.52% |
Hindi | 295 (310)[2] | 4.46% |
Arabic | 280 (295) | 4.43% |
Portuguese | 205 (215) | 3.08% |
Bengali | 200 (205) | 3.05% |
Russian | 160 (155) | 2.42% |
Japanese | 125 (125) | 1.92% |
Punjabi | 95 (100) | 1.44% |