TF-Keras
TF Lite
TensorBoard
ONNX
Edit model card

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

Evaluation metric:

  • mAP50_95: 0.895
Downloads last month
0
Inference API
Unable to determine this modelโ€™s pipeline type. Check the docs .

Model tree for openfoodfacts/crop-detection

Base model

Ultralytics/YOLOv8
Quantized
(2)
this model

Space using openfoodfacts/crop-detection 1