Object Detection
ultralytics
PyTorch
11
ultralyticsplus
yolov11
yolo
vision
visdrone
uav
Eval Results (legacy)
Instructions to use erbayat/yolov11n-visdrone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use erbayat/yolov11n-visdrone with ultralytics:
from ultralytics import YOLOvv11 model = YOLOvv11.from_pretrained("erbayat/yolov11n-visdrone") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Create config.json
Browse files- config.json +1 -0
config.json
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{"input_size": 640, "task": "object-detection", "ultralyticsplus_version": "0.1.0", "ultralytics_version": "8.0.239", "model_type": "11"}
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