Object Detection
ultralytics
PyTorch
detectionbench
computer-vision
traffic-lights
autonomous-driving
self-driving-cars
advanced-driver-assistance-systems
Instructions to use dronefreak/lisa-yolo26m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use dronefreak/lisa-yolo26m with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("dronefreak/lisa-yolo26m") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- d95995b4f38e089e1086561721fbb83e96b1c825501678defd8a591c426173dc
- Size of remote file:
- 189 kB
- SHA256:
- 710ef684ca7451c6e7d348f928d6f7bb05fc479ce819cb444fd1cba6aff5e245
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