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Nicolas GUIGUI
Can Einstein vision determine if an image contains 2 (or moreà) image in my dataset ?
Hi everybody !
I train with the api Einstein vision and I have a business case:
Customers send us receipt and I want to use Einstein vision to determine all lines in the receipt.
If I have a custom dataset with all possible lines that I can found: Can Einstein vision determine all product in the receipt and get an API return like this:
So, this response indicates me that I have product 1 and 2 in the receipt.
Thanks a lot for your return !
Regards
I train with the api Einstein vision and I have a business case:
Customers send us receipt and I want to use Einstein vision to determine all lines in the receipt.
If I have a custom dataset with all possible lines that I can found: Can Einstein vision determine all product in the receipt and get an API return like this:
{ "probabilities": [ { "label": "Product 1", "probability": 0.97554934 }, { "label": "Product 2", "probability": 0.974450686 }, { "label": "Product 3", "probability": 0.000000686 } ], "object": "predictresponse" }
So, this response indicates me that I have product 1 and 2 in the receipt.
Thanks a lot for your return !
Regards
Yes, it is possible, you can achive this by choosing the dataset type as "image-multi-label" while creating your dataset, more on this refer - https://metamind.readme.io/docs/create-a-dataset-zip-async
The diference between dataset type - "image" and "image-multi-label" , in the former the probability across all the class labels sums to one, meaning that it assume the class label are mutually exclusive & tries to find one label per image. In the later ( "image-multi-label" ie) the class label are considered to be independent of each other. The returned probability represent if the class label is present in the image or not (& hence sum of all probability doesn't sum up to one)
Hope this clarifies, Please feel free to reach out if you have more questions.
Regards,
Sachin
Einstein.ai