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
| path: E:/invoice-extractor/training_model/data/yolo_annotated | |
| train: images/train | |
| val: images/val | |
| test: images/test | |
| names: | |
| 0: invoice_metadata | |
| 1: vendor_block | |
| 2: customer_block | |
| 3: table_block | |
| 4: line_item | |
| 5: summary_block | |
| 6: payment_block | |
| 7: Column | |
| nc: 8 | |