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ingredient-detection
openfoodfacts/ingredient-detection
ingredient-detection is a machine learning model from openfoodfacts. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as agpl-3.0.
This ingredient detection model was trained on the ingredient detection dataset v1.1 using this training code.
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At a glance
- License
- agpl-3.0
- Access
- Public
- Created
- Sep 16, 2024
- Updated
- Oct 14, 2025
- SHA
- e96cbd44
Model card
From the Hugging Face model README
This ingredient detection model was trained on the ingredient detection dataset v1.1 using this training code.
Training was tracked on Wandb.
This release provides the following assets:
Training-related assets:
predictionsdirectory: predictions on train and test dataset of the model, in: HTML format: easier to view JSONL format: either the raw or the aggregated (post-processed) version- the HuggingFace serialized model, in the root directory
Serving assets:
onnx.tar.gz: the model exported to ONNX format
Versions
1.1
New version based on v1.1 of the dataset. “organic”/”issu de l’agriculture biologique” suffixes are now considered as part of the ingredient list.s
1.0
First version based on v1.0 of the dataset.
- License
- agpl-3.0
- Created
- Sep 16, 2024
- Updated
- Oct 14, 2025