Object Detection
ultralytics
yolo11
yolo
yolov11
text-detection
ocr
document-analysis
Eval Results (legacy)
Instructions to use RoyRud1902/yolo11n-text with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use RoyRud1902/yolo11n-text with ultralytics:
from ultralytics import YOLOvv11 model = YOLOvv11.from_pretrained("RoyRud1902/yolo11n-text") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Augmentation
#1
by DonkeySmall - opened
Great point!
I’m using the model to detect text in a desktop GUI. Initially I planned to cherry-pick part of the dataset specifically for GUI text detection, but a model trained only on your dataset already performs surprisingly well on this task.
My plan now is to fork the model and maintain a GUI-focused detector by adding dedicated GUI text detection training data, while retraining the core text detector to make it more robust and universal, following your recommendations.

