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Line 151: + − === Backend Improvements, New Features and Performance === − * The Open Food Facts backend and web site is coded in Perl and the data is stored in MongoDB − * We currently have performance issues with MongoDB requests that could be optimized − * There are many other areas for improvements for the backend, see https://github.com/openfoodfacts/openfoodfacts-server
Student projects/GSOC/Proposals (view source)
Revision as of 15:21, 5 February 2019
, 15:21, 5 February 2019no edit summary
== Computer vision ==
== Computer vision ==
Why it's important: all product data comes from photos of the product and labels. Today most of this data is entered manually. In order to be able to scale, we need to extract more data from photos automatically.
Why it's important: all product data comes from photos of the product and labels. Today most of this data is entered manually. In order to be able to scale, we need to extract more data from photos automatically.
* Archive of the images we have for a subset of popular products (8 Gb): https://static.openfoodfacts.org/images/popular-products.tar.gz
* Archive of the images we have for a subset of popular products (8 Gb): https://static.openfoodfacts.org/images/popular-products.tar.gz
* Images for all products that were added during a specific day: https://static.openfoodfacts.org/data/new_products_images_20180301.tar.gz
* Images for all products that were added during a specific day: https://static.openfoodfacts.org/data/new_products_images_20180301.tar.gz
* '''Slack channels: #ai-computervision #ai-machinelearning'''
* '''Github AI / machine learning: openfoodfacts-ai'''
=== Improve OCR for ingredients ===
=== Improve OCR for ingredients ===
Background: We have started in the past year to ramp up effort, and we have processed 1,5 million images with OCR and general entity, barcode and QR-code recognition. The result is 1,5 million matching JSON files with bounding boxes.
Background: We have started in the past year to ramp up effort, and we have processed 1,5 million images with OCR and general entity, barcode and QR-code recognition. The result is 1,5 million matching JSON files with bounding boxes.
* '''Slack channels: #ai-machinelearning'''
* '''Github AI / machine learning: openfoodfacts-ai'''
=== Automatically classify products ===
=== Automatically classify products ===
* Bad nutrition facts
* Bad nutrition facts
** e.g. by looking at outliers for products of the same category
** e.g. by looking at outliers for products of the same category
== Backend server and database ==
* '''Slack channels: #productopener #perl #mongodb'''
* '''Github server backend: https://github.com/openfoodfacts/openfoodfacts-server'''
=== Backend Improvements, New Features and Performance ===
* The Open Food Facts backend and web site is coded in Perl and the data is stored in MongoDB
* We currently have performance issues with MongoDB requests that could be optimized
* There are many other areas for improvements for the backend, see https://github.com/openfoodfacts/openfoodfacts-server
=== Taxonomy Editor ===
=== Taxonomy Editor ===
* '''Slack channels: #taxonomies #perl #python #php #nodejs'''
* We define and use multilingual taxonomies for categories, labels, ingredients and other fields.
* We define and use multilingual taxonomies for categories, labels, ingredients and other fields.
* They are currently defined in text files hosted on our wiki: https://en.wiki.openfoodfacts.org/Global_taxonomies but it is becoming unmanageable (the biggest taxonomy for categories is 37k lines long).
* They are currently defined in text files hosted on our wiki: https://en.wiki.openfoodfacts.org/Global_taxonomies but it is becoming unmanageable (the biggest taxonomy for categories is 37k lines long).
* We need a tool that makes it easy to edit the taxonomy and translate it.
* We need a tool that makes it easy to edit the taxonomy and translate it.
* The code that handles taxonomies is coded in Perl, but the taxonomy editor could be coded in any language (e.g. python, nodejs, php etc.)
== 2018- 2017 Project ideas ==
== 2018- 2017 Project ideas ==