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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It is a product which can be used by anybody, like if you want to categorise your albums according to the people in it. this gives you a very simple way.
Pros:
build a model without any hassle of code.
Cons:
Doesnt not yet have integration with other platforms .may be google sheets.
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Is it possible to upload my own photos as opposed to via urls?
@nitisha0992 Airtable has Attachment field type as well in addition to url. We were thinking of doing that instead of urls when we first started working on it. However upload on airtable was bit slow so thought should stick to urls for now and later if lot of people think it would be useful, will add attachments as well. Any interesting use case you have in mind for uploading your own photos?
@husain_safdari We built this tool with the use of airtable API. Google sheets also provides a similar API so definitely possible. Will plan for an integration. One quick way to do this is there are plugins that sync google sheet and airtable as well.
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Why does it take time for the predict step to start working, whats happening behind the curtain
@salim_khan after airtable connects with nanonets, we train a custom model to do predictions. Since this model is custom, it takes time to train it. Hence it takes some time for predict to start working. We keep innovating ways to reduce the training time :)
@salim_khan Hey Salim, we try and train the a custom model based on your images which generally takes a few minutes since it's computationally expensive.
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It is a product which can be used by anybody, like if you want to categorise your albums according to the people in it. this gives you a very simple way.
Pros:build a model without any hassle of code.
Cons:Doesnt not yet have integration with other platforms .may be google sheets.
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