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
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Model tree for erbayat/yolov11n-visdrone
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Ultralytics/YOLO11Evaluation results
- mAP@0.5(box)self-reported0.340