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jinivthakkar
Resident Rockstar
Resident Rockstar

AI model to extract Nutrition facts and Ingredients

Hi All,

 

I want to extract the Nutrition facts and Ingredients of the product, I have around 500 products.

 

Here is a sample picture : I need to get the highlighted content

Img3.PNG

 

I want to get Nutrition Facts like fat, vitamin A, vitamin c and then Ingredients in English and French.

 

I have few questions : 

 

1 - Which is the best model for my use case ?

 

2 - I am planning to use forms processing model so I would like to know do I need to train the model with one product and it will work for all remaining 499 products or do I need to make a different collection for each product ?

 

3 - What is the maximum number of collections I can I have ? (in my case I might need 500 collections with at least 10 images each)

1 ACCEPTED SOLUTION

Accepted Solutions

Hi,

The best model seems indeed form processing.

Given the quality of the picture, accuracy may suffer.

You need at least 5 samples of each layout.
If several products have the same table structure / layout, one collection may recognize both.

At the moment, the maximum number of collection is 100 but this will be increased in coming months.

View solution in original post

2 REPLIES 2
jinivthakkar
Resident Rockstar
Resident Rockstar

@CedrickB @JoeF-MSFT : any thoughts on my query ?

 

TIA !

Hi,

The best model seems indeed form processing.

Given the quality of the picture, accuracy may suffer.

You need at least 5 samples of each layout.
If several products have the same table structure / layout, one collection may recognize both.

At the moment, the maximum number of collection is 100 but this will be increased in coming months.

View solution in original post

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