diff --git a/README.md b/README.md index b395ff064c4df0831530d702e0288acad5833a67..e2730494b3df8f560cf5b49c933ea6bcecd86f22 100644 --- a/README.md +++ b/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/). \ No newline at end of file diff --git a/args.yaml b/args.yaml new file mode 100644 index 0000000000000000000000000000000000000000..1352d64f8d270e88b1a77f306f26ec1c3ae1ddae --- /dev/null +++ b/args.yaml @@ -0,0 +1,106 @@ +task: classify +mode: train +model: yolov8n-cls.pt +data: ./proof-classification +epochs: 100 +time: null +patience: 100 +batch: 16 +imgsz: 224 +save: true +save_period: -1 +cache: false +device: null +workers: 8 +project: null +name: train +exist_ok: false +pretrained: true +optimizer: auto +verbose: true +seed: 0 +deterministic: true +single_cls: false +rect: false +cos_lr: false +close_mosaic: 10 +resume: false +amp: true +fraction: 1.0 +profile: false +freeze: null +multi_scale: false +overlap_mask: true +mask_ratio: 4 +dropout: 0.0 +val: true +split: val +save_json: false +save_hybrid: false +conf: null +iou: 0.7 +max_det: 300 +half: false +dnn: false 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