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'''It is extremely important to provide quality annotations, otherwise the predictions won't be qualitative'''.
 
'''It is extremely important to provide quality annotations, otherwise the predictions won't be qualitative'''.
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If you're not sure of how you should annotate a logo, ask on the Slack, in the #ai-logo-detection channel.
    
== How to? ==
 
== How to? ==
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* The ''value'' field should only be completed for "brand" and "label" types.
 
* The ''value'' field should only be completed for "brand" and "label" types.
 
* The value should match one item in the associated taxonomy, otherwise it won't be used for prediction. The field value is lowercased before saving the annotation.
 
* The value should match one item in the associated taxonomy, otherwise it won't be used for prediction. The field value is lowercased before saving the annotation.
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* Use ''QR code'' type for QR codes, ''Packager code'' for packager codes (code surrounded by a circle), ''Brand'' for brand logos and ''Label'' for label logos.
    
Example: https://hunger.openfoodfacts.org/logos?logo_id=161643
 
Example: https://hunger.openfoodfacts.org/logos?logo_id=161643
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* en:gluten-free
 
* en:gluten-free
 
* fr:volaille française
 
* fr:volaille française
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* ab bio (not in taxonomy, the right value is ''ab agriculture biologique'')
    
'''If more than one logo is visible on the crop, do not annotate it'''. A flag system should be available in the future to report them.
 
'''If more than one logo is visible on the crop, do not annotate it'''. A flag system should be available in the future to report them.
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* ''logo_id'': the ID of the logo. If not provided, will be random.
 
* ''logo_id'': the ID of the logo. If not provided, will be random.
 
* ''count'': the number of results to display (default: 25). Useful to annotate many logos at once.
 
* ''count'': the number of results to display (default: 25). Useful to annotate many logos at once.
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For instance, to display 50 results, use: https://hunger.openfoodfacts.org/logos?count=50

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