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
Upload metrics/summary.json with huggingface_hub
Browse files- metrics/summary.json +39 -0
metrics/summary.json
ADDED
|
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "yolo11m",
|
| 3 |
+
"repo_id": "AvoCahDoe/invoice-layout-yolo11m",
|
| 4 |
+
"dataset": "AvoCahDoe/invoice-annotated-bbox",
|
| 5 |
+
"classes": {
|
| 6 |
+
"0": "invoice_metadata",
|
| 7 |
+
"1": "vendor_block",
|
| 8 |
+
"2": "customer_block",
|
| 9 |
+
"3": "table_block",
|
| 10 |
+
"4": "line_item",
|
| 11 |
+
"5": "summary_block",
|
| 12 |
+
"6": "payment_block",
|
| 13 |
+
"7": "Column"
|
| 14 |
+
},
|
| 15 |
+
"val": {
|
| 16 |
+
"epochs_trained": 100,
|
| 17 |
+
"best_epoch": 91,
|
| 18 |
+
"best_map50": 0.84934,
|
| 19 |
+
"best_map50_95": 0.49511,
|
| 20 |
+
"best_precision": 0.82798,
|
| 21 |
+
"best_recall": 0.79914,
|
| 22 |
+
"final_map50": 0.87798,
|
| 23 |
+
"final_map50_95": 0.49166,
|
| 24 |
+
"final_precision": 0.86822,
|
| 25 |
+
"final_recall": 0.79797,
|
| 26 |
+
"train_time_s": 10825.6
|
| 27 |
+
},
|
| 28 |
+
"test": {
|
| 29 |
+
"test_precision": 0.9032503333433675,
|
| 30 |
+
"test_recall": 0.8465909090909092,
|
| 31 |
+
"test_map50": 0.8418105158730158,
|
| 32 |
+
"test_map50_95": 0.4925741071428572
|
| 33 |
+
},
|
| 34 |
+
"training": {
|
| 35 |
+
"weights": "yolo11m.pt",
|
| 36 |
+
"batch": 6,
|
| 37 |
+
"imgsz": 1024
|
| 38 |
+
}
|
| 39 |
+
}
|