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Alteryx Designer Desktop Ideas

Share your Designer Desktop product ideas - we're listening!
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Featured Ideas

10

Image Recognition Tools

Status: Under Review Submitted 09-08-2021 Submitted by 09-08-2021

Hello,

 

  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

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US Geocoder Simple Speed Improvement

Status: New Idea Submitted on ‎09-18-2023 09:08 AM Submitted by on ‎09-18-2023 09:08 AM
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Hi!

 

Just thought up a simple improvement to the US Geocoder macro that could potentially speed up the results. I'm doing an analysis on some technician data where they visit the same locations over & over again. I'm doing a full year analysis (200k + records) & the geocoder takes a bit to churn thru that much data. In the case of my data though, it's the same addresses over & over again & the geocoder will go thru each one individually.

 

What I did in my process & could be added to the macro is to put a unique tool into the process based off address, city, state, zip, then Geocode the reduced list, then simply join back to the original data stream using a join based off the address, city, state, zip fields (or use record id tool to created a unique process id to join off).

 

In my case, the 200k records were reduced to 25k, which Alteryx completed in under a minute, then joined back so my output was still the 200k records (all geocoded now).

 

Not everyone will have this many duplicates, but I'd bet most data has a few, & every little bit of time savings helps when management is waiting on the results haha!

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