---
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](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">
</div>

## Evaluation metric:
* mAP50_95: 0.895