openfoodfacts/price-tag-detection
By openfoodfacts · ↓ 0 · ♥ 5 · Updated 2026-01-20
What's in this repo
This page lists the files in openfoodfacts/price-tag-detection, including model_ir_10_opset_19.onnx, model_ir_8_opset_17.onnx.
- 2 ONNX models (.onnx files)
- 26 files, including 11 .jpg, 7 .png, 2 .pt, 2 .onnx, 1 .md, 1 .yaml
- Last updated 2026-01-20
ONNX files
| File | Size | Download |
|---|---|---|
| weights/model_ir_10_opset_19.onnx | — | Download |
| weights/model_ir_8_opset_17.onnx | — | Download |
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
Open Prices - Price tag detection model
This object detection model was trained on images from the Open Prices database to detect price tags of products in shops.
It was trained on 206 epochs using Ultralytics library, using yolov11x version, with images resized to 960x960. This model is licensed under the AGPLv3 license.
Weights
Weights are available in the weights/ directory. An ONNX export of the model is available in weights/model.onnx.
Run the model
# Load a model
model = YOLO(f"{data_path}/yolo11x.pt")
image_test_list = [f"{data_path}/test/4xXuBb8u3E.jpg", f"{data_path}/test/test_image.jpg"]
results = model.predict(image_test_list, conf=0.1, save=True, project=f"{data_path}/test") # or with a list of image paths
Model info
Created: 2024-12-09
Updated: 2026-01-20
View on Hugging FaceFiles (26)
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