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*Project duration: 350 hours
*Project duration: 350 hours
*Skills required: Flutter (Dart)
*Skills required: Flutter (Dart)
*Difficulty rating: Medium<span id="improve-our-producer-platform-to-the-next-level"></span>
=== Photo auto-crop and selection ===
====Description====
Products photos are one of the most important asset from the database. It is also the first contribution user may do. It gives evidence for facts, and we thoroughly use OCR and Machine Learning to extract as much info as possible. Currently as you take a photo, you have to first select it's role and carefully crop the photo. This slow down contribution quite a lot and may discourage users in the long run. We won't to try to have crop and eventually selection done automatically, on device.
====Expected outcomes====
*Use on the shelf image detection libraries and implement auto crop for photos
*Implement a batch photo acquisition mode
*from there we can iterate on other features:
**find a working heuristic to detect front image (or eventually train a model to detect them)
**try to do detect photo languages automatically
Note that this project is as much as mobile development as machine learning engineering.
====Project information====
*repository: https://github.com/openfoodfacts/smooth-app
* Slack channels: #mobile-app
*Potential mentors: Raphaël, Pierre
*Project duration: 350 hours
*Skills required: Flutter (Dart), some machine learning
*Difficulty rating: Medium<span id="improve-our-producer-platform-to-the-next-level"></span>
*Difficulty rating: Medium<span id="improve-our-producer-platform-to-the-next-level"></span>
*repository: <u>https://github.com/openfoodfacts/taxonomy-editor/</u>
*repository: <u>https://github.com/openfoodfacts/taxonomy-editor/</u>
*Slack channels: #taxonomy-editor #taxonomy
*Slack channels: #taxonomy-editor #taxonomy
*Potential mentors: Pierre, Alex
*Potential mentors: Alexandre F., Alex
*Project duration: 350 hours
*Project duration: 350 hours
*Skills required: Reactjs / Python / Neo4j
*Skills required: Reactjs / Python / Neo4j