| 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/). |