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
Update README.md
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README.md
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---
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base_model:
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- Ultralytics/YOLO11
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tags:
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- ultralyticsplus
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- yolov11
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- ultralytics
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- yolo
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- vision
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- object-detection
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- pytorch
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- visdrone
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- uav
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library_name: ultralytics
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library_version: 8.0.239
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model-index:
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- name: erbayat/yolo11n-visdrone
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results:
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- task:
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type: object-detection
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metrics:
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- type: precision
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value: 0.34
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name: mAP@0.5(box)
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license: openrail
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