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-yolov8m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use AvoCahDoe/invoice-layout-yolov8m with ultralytics:
from ultralytics import YOLOvv8 model = YOLOvv8.from_pretrained("AvoCahDoe/invoice-layout-yolov8m") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Upload confusion_matrix.png with huggingface_hub
Browse files- .gitattributes +1 -0
- confusion_matrix.png +3 -0
.gitattributes
CHANGED
|
@@ -47,3 +47,4 @@ assets/train_batch1.jpg filter=lfs diff=lfs merge=lfs -text
|
|
| 47 |
assets/train_batch2.jpg filter=lfs diff=lfs merge=lfs -text
|
| 48 |
assets/labels.jpg filter=lfs diff=lfs merge=lfs -text
|
| 49 |
results.png filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 47 |
assets/train_batch2.jpg filter=lfs diff=lfs merge=lfs -text
|
| 48 |
assets/labels.jpg filter=lfs diff=lfs merge=lfs -text
|
| 49 |
results.png filter=lfs diff=lfs merge=lfs -text
|
| 50 |
+
confusion_matrix.png filter=lfs diff=lfs merge=lfs -text
|
confusion_matrix.png
ADDED
|
Git LFS Details
|