Price Tag Classification
This image classification model was fine-tuned using the Ultralytics YOLO library.
Fonte do modelo
- Tipo
- Other
- Tamanho do arquivo
- 2,86–5,52 MB
- Modelo base
- yolov8n-cls.pt
- Versão
- vRevision 4c068b4
- Atualizado
- 28 de set. de 2026
- Downloads
- 14
- Fonte
- Hugging Face
Descrição da fonte
Model Card for price-tag-classification
This image classification model was fine-tuned using the Ultralytics YOLO library.
Model Details
Model Description
- Developed by: Open Food Facts
- Model type: image classification
- License: agpl-3.0
- Finetuned from model: yolov8n-cls.pt
Training Details
Training Data
The model was fine-tuned using the following dataset: openfoodfacts/price-tag-classification (revision: v1.0).
Training Procedure
Dependency versions:
- ultralytics: 8.4.14
- pytorch: 2.9.0+cu128
Training Hyperparameters
- Epochs: 100
- Batch size: 4
- Image size: 960
Evaluation
The following evaluation metrics were obtained after training the model:
-
metrics/accuracy_top1: 0.9489558935165405
-
metrics/accuracy_top5: 1.0
-
fitness: 0.9744779467582703
Evaluation on exported models
The model was also evaluated after exporting to ONNX and TensorRT formats. The following metrics were obtained:
ONNX export
-
metrics/accuracy_top1: 0.9489558935165405
-
metrics/accuracy_top5: 1.0
-
fitness: 0.9744779467582703
Files
Most files stored on the repo are standard files created during training with the Ultralytics YOLO library.
What was added:
- an ONNX export of the trained model (best model), stored in
weights/model.onnx. - a Parquet file containing predictions on the full dataset, stored in
predictions.parquet. - metrics JSON files for each exported model format, stored in
metrics_*.json:metrics.json: metrics for the original PyTorch modelmetrics_onnx.json: metrics for the ONNX exported model
Fontes
1 fonte
Fontes
1 fonteVerificado 28 de set.
Artefatos de modelo
3 artefatos
Artefatos de modelo
3 artefatosTrechos de fonte
2 trechos
Trechos de fonte
2 trechos--- base_model: yolov8n-cls.pt datasets: - openfoodfacts/price-tag-classification library_name: ultralytics license: agpl-3.0 pipeline_tag: image-classification --- # Model Card for price-tag-classification [Wandb run](https://wandb.ai/raphaeloff/price-tag-classification/runs/yolov8n-cls-e-100-custom-augmentation_20260316_090615) This image classification model was fine-tuned using the Ultralytics YOLO library. ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> - **Developed by:** Open Food Facts - **Model type:** image classification - **License:** agpl-3.0 - **Finetuned from model:** yolov8n-cls.pt ## Training Details ### Training Data The model was fine-tuned using the following dataset: [openfoodfacts/price-tag-classification](https://huggingface.co/datasets/openfoodfacts/price-tag-classification) (revision: `v1.0`). ### Training Procedure Dependency versions: - ultralytics: 8.4.14 - pytorch: 2.9.0+cu128 #### Training Hyperparameters - **Epochs:** 100 - **Batch size:** 4 - **Image size:** 960 ## Evaluation The following evaluation metrics were obtained after training the model: - **metrics/accuracy_top1:** 0.9489558935165405 - **metrics/accuracy_top5:** 1.0 - **fitness:** 0.9744779467582703 ### Evaluation on exported models The model was also evaluated after exporting to ONNX and TensorRT formats. The following metrics were obtained: #### ONNX export - **metrics/accuracy_top1:** 0.9489558935165405 - **metrics/accuracy_top5:** 1.0 - **fitness:** 0.9744779467582703 ## Files Most files stored on the repo are standard files created during training with the Ultralytics YOLO library. What was added: - an ONNX export of the trained model (best model), stored in `weights/model.onnx`. - a Parquet file containing predictions on the full dataset, stored in `predictions.parquet`. - metrics JSON files for each exported model format, stored in `metrics_*.json`: - `metrics.json`: metrics for the original PyTorch model - `metrics_onnx.json`: metrics for the ONNX exported model
Source context: 14 downloads · 0 likes · Pipeline image-classification · Library ultralytics · Repo openfoodfacts/price-tag-classification
