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Real-time and batch prediction service for Open Food Facts

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Robotoff

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Robotoff is a service managing potential Open Food Facts updates (also known as insights). These insights include a growing set of facts, including:

  • the product category, weight, brand, packager codes and expiration date
  • some of its labels
  • abusive pictures (selfies)
  • rotated pictures
  • ingredient spellchecking

Robotoff provides an API to:

  • import a batch of insights in JSONL format
  • Fetch insights
  • Annotate an insight (accept or reject) and send the update to Openfoodfacts if the insight was accepted

Once generated, the insights can be applied automatically, or after a manual validation if needs be. A scheduler takes care of regularly marking insights for automatic annotation and for sending the update to Openfoodfacts.

The API documentation describes the API endpoints.

For a quickstart of Robotoff as a library, go to the Quickstart.

Installation

Robotoff is made of an API web server, a scheduler, a pool of asynchronous workers and a an Elasticsearch server. All these services are available as docker images. A docker-compose.yml file is used for service orchestration.

To start all services, simply run:

$ docker-compose up -d

Licence

Robotoff is licenced under the AGPLv3.

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Real-time and batch prediction service for Open Food Facts

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  • Python 99.8%
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