Changes

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.

'''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'''.

If you're not sure of how you should annotate a logo, ask on the Slack, in the #ai-logo-detection channel.

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? ==

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.

* 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.

* 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.

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.

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.

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.

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.

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: