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openfoodfacts/crop-detection
crop-detection is a machine learning model from openfoodfacts. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for tf-keras. The card lists the license as agpl-3.0.
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.
Downloads · 30 days
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11% of all-time downloads
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.tflite18.5 MB · 28%
From the Hugging Face model README
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.
<div style="text-align: center;"> <img src="images/val_batch0_pred.jpg" alt="My Image" width="500"> </div>