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Student projects/GSOC/Proposals: Difference between revisions
Student projects/GSOC/Proposals (view source)
Revision as of 10:02, 25 February 2018
, 25 February 2018ââComputer vision
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Background: We currently only do basic OCR for ingredients. There is a lot of room for improvement. Â | Background: We currently only do basic OCR for ingredients. There is a lot of room for improvement. Â | ||
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 === | ||
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=== Brands and labels detection === | === Brands and labels detection === | ||
* Automatically recognize brands and labels | * Automatically recognize brands and labels (organic, fair trade etc.) | ||
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=== Packaging recognition === | |||
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* Is it a can, a bottle, a cardboard pack etc. | |||
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=== 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 == | ||