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Nanonets Airtable Models - Build a no-code AI image organizer with Airtable

Easily build Image Classification Models with Airtable and Nanonets. Add your image urls and labels to Airtable. After connecting with Nanonets, your model will be built and hosted within an hour. Integrating your model is as easy as copying 2 lines of code.

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Sarthak Jain
Hello fellow hunters, Thank you for stopping by to have a look at Nanonets' Airtable Integration. I'm one of the co-founders of Nanonets and I would like to give a quick overview of this Airtable Integration. We set out to solve the problem of being able to build no code deep learning models right from your spreadsheets. Through this integration, users can easily build production ready image classification models in a few minutes.To give you a little bit of background, Nanonets is a machine learning API for developers to integrate cutting edge ML into their products. Let me give you a quick walkthrough of this feature. 1. Assume you have a large number of image urls lying in spreadsheets or a database 2. You just need to clone our base Airtable template and add your image urls here and label around 25-50 images for every unique class that you'd like to classify. 3. Connect your Airtable to Nanonets and that's it! Your model should be trained within an hour. 4. You can constantly improve your model by showing us which predictions we got wrong through Airtable itself. I would urge you to take a look at the product webpage. We have built the product with a lot of passion and would love to have your feedback on it. Happy to answer any questions. Sarthak Jain
Arceus
Love the design aesthetic and the example images. Thinking of using this to sort all my artwork!
Rushabh Nagda
@tejas Thanks. Feel free to reach out, would be happy to help.
Payal Shah
Will it work if I provide very few (<10) examples?'
Rushabh Nagda
@payalshah21 Hey, currently we have a minimum of 25 examples per category. In our experience, this number is enough to build fairly robust models.
Denis Shershnev
Congrats @sarthak_jain @rushabh_nagda @pjuvatkar ! You've done great work!
Rushabh Nagda
@sarthak_jain @pjuvatkar @eulerr Thanks! Feel free to reach out, would be happy to help.
Sarthak Jain
Siddharth Goliya
Do you have plans to support other types of image tasks ?
Rushabh Nagda
@siddharthgoliya We're currently planning to build Multi label classification and Object detection as well :)
Mayank Ladia
It's really really cool stuff. Making my own model.
Rushabh Nagda
@mayank_ladia Thanks! Feel free to reach out, would be happy to help.
Anup Surana
Great product. Enjoying it.
Rushabh Nagda
@anup_surana Thanks! Feel free to reach out, would be happy to help.
nil admirari
Hey, this is definitely what we are looking for! Thanks for sharing. Do you have an integration for amazon S3
Rushabh Nagda
@pbk Hey Nil, we don't have an S3 integration as yet. However, you can always pull the URLs from s3 and add it to airtable :)
Damjanski
<3 <3 <3
Rushabh Nagda
@damjanski Thanks! Feel free to reach out, would be happy to help.
Anup Surana

Optimistic about future integrations. Product is good.

Pros:

Easy to use. Retraining support is great

Cons:

Only supports image urls

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