Object Detection
ultralytics
English
German
yolo
yolov8
invoice
document-layout
document-understanding
ocr-prep
invoice-extraction
Eval Results (legacy)
Instructions to use AvoCahDoe/invoice-layout-yolov8n with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use AvoCahDoe/invoice-layout-yolov8n with ultralytics:
from ultralytics import YOLOvv8 model = YOLOvv8.from_pretrained("AvoCahDoe/invoice-layout-yolov8n") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
| { | |
| "model": "yolov8n", | |
| "repo_id": "AvoCahDoe/invoice-layout-yolov8n", | |
| "dataset": "AvoCahDoe/invoice-annotated-bbox", | |
| "classes": { | |
| "0": "invoice_metadata", | |
| "1": "vendor_block", | |
| "2": "customer_block", | |
| "3": "table_block", | |
| "4": "line_item", | |
| "5": "summary_block", | |
| "6": "payment_block", | |
| "7": "Column" | |
| }, | |
| "val": { | |
| "epochs_trained": 87, | |
| "best_epoch": 62, | |
| "best_map50": 0.87868, | |
| "best_map50_95": 0.62526, | |
| "best_precision": 0.88531, | |
| "best_recall": 0.78492, | |
| "final_map50": 0.82816, | |
| "final_map50_95": 0.60501, | |
| "final_precision": 0.84392, | |
| "final_recall": 0.77346, | |
| "train_time_s": 2457.74 | |
| }, | |
| "test": { | |
| "test_precision": 0.9502026366186389, | |
| "test_recall": 0.9592350761984346, | |
| "test_map50": 0.96, | |
| "test_map50_95": 0.7167417072510822 | |
| }, | |
| "training": { | |
| "weights": "yolov8n.pt", | |
| "batch": 8, | |
| "imgsz": 1024 | |
| } | |
| } |