openfoodfacts
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crop-detection

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jeremyarancio commited on Sep 27

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@@ -9,7 +9,7 @@ datasets:
 When contributors use the mobile app, they are asked to take pictures of the product, then to crop it. To assist users during the process, we create a crop-detection model desin to detect the product edges.
-This model is used within the mobile app.
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 <img src="images/val_batch0_pred.jpg" alt="My Image" width="500">

 When contributors use the mobile app, they are asked to take pictures of the product, then to crop it. To assist users during the process, we create a crop-detection model desin to detect the product edges.
+The base model, **Yolov8n**, was fine-tuned on manually annotated images extracted from the Open Food Facts database using Label Studio. The explanation about the image extraction can be found in the [Product Opener documentation](https://openfoodfacts.github.io/openfoodfacts-server/api/aws-images-dataset/).
 <div style="text-align: center;">
 <img src="images/val_batch0_pred.jpg" alt="My Image" width="500">