add v1 of the proof classification model

README.md

@@ -1,3 +1,16 @@
 ---
 license: agpl-3.0
 ---
+
+This model is an image classifier used to predict the proof type of a proof image on [Open Prices](https://prices.openfoodfacts.org/).
+
+The folling categories are supported:
+
+- `PRICE_TAG`: a photo a single price tag in a shop. If several price tags are visible, the image should be classified as `SHELF`.
+- `SHELF`: a photo of a shelf with several products and price tags. If only one price tag is visible, the image should be classified as `PRICE_TAG`.
+- `PRODUCT_WITH_PRICE`: a single product with a price written (or added) directly on the product.
+- `RECEIPT`: a photo of a shop receipt.
+- `WEB_PRINT`: a screenshot of a web page displaying a price/receipt or a photo of a price brochure.
+- `OTHER`: every other image that doesn't belong to any of the above category.
+
+The model was trained with Ultralytics library. It's was fine-tuned from YOLOv8n model. The training dataset is an annotated subset of the [Open Prices dataset](https://prices.openfoodfacts.org/).

args.yaml

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+task: classify
+mode: train
+model: yolov8n-cls.pt
+data: ./proof-classification
+epochs: 100
+time: null
+patience: 100
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+name: train
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+tracker: botsort.yaml
+save_dir: runs/classify/train

mlflow/0/meta.yaml

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mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/artifacts/args.yaml

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