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Student projects/GSOC/Proposals (view source)
Revision as of 10:02, 25 February 2018
, 10:02, 25 February 2018→Computer vision
Background: We currently only do basic OCR for ingredients. There is a lot of room for improvement.
Background: We currently only do basic OCR for ingredients. There is a lot of room for improvement.
Sample data set:
* Archive of the images we have for a subset of popular products (8 Gb): https://static.openfoodfacts.org/images/popular-products.tar.gz
=== Improve OCR for ingredients ===
=== Improve OCR for ingredients ===
=== Brands and labels detection ===
=== Brands and labels detection ===
* Automatically recognize brands and labels
* Automatically recognize brands and labels (organic, fair trade etc.)
=== Packaging recognition ===
* Is it a can, a bottle, a cardboard pack etc.
=== Product recognition ===
* Recognize the front of products using the camera of the mobile phone, without scanning barcodes
* Ideally offline and on device recognition (without having to take a picture and sending it to a server)
== Data science ==
== Data science ==