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-yolo11x with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use AvoCahDoe/invoice-layout-yolo11x 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-yolo11x") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Link Hub collection in model card
Browse files
README.md
CHANGED
|
@@ -46,6 +46,8 @@ model-index:
|
|
| 46 |
|
| 47 |
Fine-tuned **YOLO11x** for **8-class invoice document layout** region detection (metadata, vendor/customer blocks, table, line items, summary, payment, column headers).
|
| 48 |
|
|
|
|
|
|
|
| 49 |
| Property | Value |
|
| 50 |
|----------|-------|
|
| 51 |
| **Architecture** | YOLO11x (56.9M params, 194.9 GFLOPs) |
|
|
|
|
| 46 |
|
| 47 |
Fine-tuned **YOLO11x** for **8-class invoice document layout** region detection (metadata, vendor/customer blocks, table, line items, summary, payment, column headers).
|
| 48 |
|
| 49 |
+
Part of the Hub collection **[Invoice Layout Extraction](https://huggingface.co/collections/AvoCahDoe/invoice-layout-extraction-6a39cd2a061a508c8049d825)**.
|
| 50 |
+
|
| 51 |
| Property | Value |
|
| 52 |
|----------|-------|
|
| 53 |
| **Architecture** | YOLO11x (56.9M params, 194.9 GFLOPs) |
|