Difference between revisions of "Artificial Intelligence"

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Machine learning models and "AI" are used in Open Food Facts to extract information from product images and to perform predictions, such as the product category.
 
Machine learning models and "AI" are used in Open Food Facts to extract information from product images and to perform predictions, such as the product category.
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= Projects =
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== Robotoff ==
  
 
[https://github.com/openfoodfacts/robotoff Robotoff] is Open Food Facts "AI" service: it takes care of calling the ML models and storing all predictions. [https://github.com/openfoodfacts/robotoff/wiki Robotoff wiki] describes in details how Robotoff works.
 
[https://github.com/openfoodfacts/robotoff Robotoff] is Open Food Facts "AI" service: it takes care of calling the ML models and storing all predictions. [https://github.com/openfoodfacts/robotoff/wiki Robotoff wiki] describes in details how Robotoff works.
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All machine learning models used in production are stored on Github as releases, in the [https://github.com/openfoodfacts/robotoff-models/releases robotoff-models] repository.
 
All machine learning models used in production are stored on Github as releases, in the [https://github.com/openfoodfacts/robotoff-models/releases robotoff-models] repository.
  
Finally, a list of our AI projects (current and future) can be found on Github: [https://github.com/openfoodfacts/openfoodfacts-ai/issues openfoodfacts-ai].
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== Hunger Games ==
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== Models ==
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A list of our AI projects (current and future) can be found on Github: [https://github.com/openfoodfacts/openfoodfacts-ai/issues openfoodfacts-ai].
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=== Category prediction ===
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=== Logo detection ===
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=== Nutrition facts table data extraction ===
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The [[Nutrition facts table data extraction]] project aims to automatically extract the nutrition facts values from photos of nutrition facts table.
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=== Ingredients spellchecking and correction ===
  
== How to contribute? ==
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= How to contribute? =
  
 
There are many ways to help:
 
There are many ways to help:

Revision as of 10:03, 19 June 2020

Machine learning models and "AI" are used in Open Food Facts to extract information from product images and to perform predictions, such as the product category.

Projects

Robotoff

Robotoff is Open Food Facts "AI" service: it takes care of calling the ML models and storing all predictions. Robotoff wiki describes in details how Robotoff works. Depending on its confidence, each prediction is either applied automatically or require a manual validation. Hunger Games is our in-house validation tool.

All machine learning models used in production are stored on Github as releases, in the robotoff-models repository.

Hunger Games

Models

A list of our AI projects (current and future) can be found on Github: openfoodfacts-ai.

Category prediction

Logo detection

Nutrition facts table data extraction

The Nutrition facts table data extraction project aims to automatically extract the nutrition facts values from photos of nutrition facts table.

Ingredients spellchecking and correction

How to contribute?

There are many ways to help:

Most of our discussions happen on Slack. Depending on your interests, you can join the following channels:

  • #robotoff and #hunger-games (robotoff and hunger games channels respectively)
  • #ai-machinelearning (generic machine learning discussions)
  • #ai-logo-detection, #ai-imagerecognition, #ai-computervision, #spellcheck