Object Detection
ultralytics
English
German
yolo
yolo11
invoice
document-layout
document-understanding
ocr-prep
invoice-extraction
Eval Results (legacy)
Instructions to use AvoCahDoe/invoice-layout-yolo11m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use AvoCahDoe/invoice-layout-yolo11m with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("AvoCahDoe/invoice-layout-yolo11m") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5783df424dc8e9e3a339af637cf3bb699f6ed0645393e03c77830d398142aed5
- Size of remote file:
- 40.6 MB
- SHA256:
- 9a99195b9c6b8ab099d071910e479f050fe03fc38529508f0a3d9857f57b9b57
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