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The goal of the annotation is to provide ground-truth labels that will be used to predict the label of unseen logos.
 
The goal of the annotation is to provide ground-truth labels that will be used to predict the label of unseen logos.
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'''It is extremely important to provide quality annotations, otherwise the predictions won't be qualitative'''.
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'''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.
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If you're not sure of how you should annotate a logo, ask on Slack, in the #ai-logo-detection channel.
    
== How to? ==
 
== How to? ==
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3. Fill ''value'' and ''type'' corresponding to the selected logos. Be sure to '''check that the ''value'' and ''type'' are correct before submitting the annotation''' :
 
3. Fill ''value'' and ''type'' corresponding to the selected logos. Be sure to '''check that the ''value'' and ''type'' are correct before submitting the annotation''' :
 
* 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.
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* The value should match one item in the associated taxonomy, otherwise it won't be used for prediction. The field value is lowercase before saving the annotation.
* 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.
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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 (label): https://hunger.openfoodfacts.org/logos?logo_id=161643, here, we should add "Label Rouge" as value and "label" as type.
 
Example (label): https://hunger.openfoodfacts.org/logos?logo_id=161643, here, we should add "Label Rouge" as value and "label" as type.
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Example (brand): https://hunger.openfoodfacts.org/logos?logo_id=444915, here we should add "Rachel's" as value and "brand" as type. Please note there is not yet auto-completion for brand. Server-side, the value is transformed into a tag ("rachel-s") and matched against existing brands in database. The brand logo annotation is used only if we found a match.
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Example (brand): https://hunger.openfoodfacts.org/logos?logo_id=444915, here we should add "Rachel's" as value and "brand" as type. Please note there is not yet auto-completion for brand. Server-side, the value is transformed into a tag ("rachel-s") and matched against existing brands in the database. The brand logo annotation is used only if we find a match.
    
'''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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If the logo is truncated, annotate it anyway if it can still be recognized.
 
If the logo is truncated, annotate it anyway if it can still be recognized.
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You can click on the blue link on the top-right corner of each logo card. It will open a new tab with this specific logo as reference. It's really useful to find similar logos to annotate.
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You can click on the blue link in the top-right corner of each logo card. It will open a new tab with this specific logo as a reference. It's really useful to find similar logos to annotate.
    
Query parameters:
 
Query parameters:

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