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:
- 7306412c30fa027ca634058d9f8b2fd3bc2e9894702f02b694f399a2662cc387
- Size of remote file:
- 141 kB
- SHA256:
- ea73c711842b8c830107b3b8d1d0f7f7bea249e5ab99b8b89cde67885a75b4d3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.