Instructions to use Armaggheddon/yolo11-document-layout with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use Armaggheddon/yolo11-document-layout with ultralytics:
from ultralytics import YOLOvv11 model = YOLOvv11.from_pretrained("Armaggheddon/yolo11-document-layout") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Yolo26 finetuning
#1
by kaldan - opened
Is there any effort on finetuning yolo26 with same dataset?
Right now I have no plans to address that. If I happen to find some time (and the HW π«£) I could be looking into that
Armaggheddon changed discussion status to closed
I finally had some time to work on this. I changed the dataset to the newer DocLayNet v1.2 and finetuned the Yolo 26 n/s/m versions. I need some more time to figure out of to handle the repository structure and then I will publish, so keep an eye out!
Armaggheddon changed discussion status to open
I just published the new YOLO26 models fine-tuned on DocLayNet dataset.
The Yolo26n version achieves YOLO11-Medium performance π€―.
Check out the weights and try it yourself here: π
Armaggheddon/yolo26-document-layout
Armaggheddon changed discussion status to closed