Object Detection
ultralytics
PyTorch
medical
medical-imaging
ophthalmology
retinal-imaging
diabetic-retinopathy
fundus
retina
lesion-detection
screening
yolo
yolo11
Eval Results (legacy)
Instructions to use fundusnap/fundusnap-v1-lesiondet-yolo11m-20m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use fundusnap/fundusnap-v1-lesiondet-yolo11m-20m with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("fundusnap/fundusnap-v1-lesiondet-yolo11m-20m") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!