metadata
base_model: Ultralytics/YOLOv8
license: agpl-3.0
datasets:
- openfoodfacts/crop-detection-dataset
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.
![My Image](/openfoodfacts/crop-detection/resolve/main/images/val_batch0_pred.jpg)
Evaluation metric:
- mAP50_95: 0.895