Crop detection
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.
Evaluation metric:
- mAP50_95: 0.895
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Model tree for openfoodfacts/crop-detection
Base model
Ultralytics/YOLOv8