Object Detection
ultralytics
TensorBoard
ONNX
yolo
yolov11
drone
uav
imav
robotics
gate-detection
autonomous-navigation
Eval Results (legacy)
Instructions to use blackbeedrones/imav-2025-gate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use blackbeedrones/imav-2025-gate with ultralytics:
from ultralytics import YOLOvv11 model = YOLOvv11.from_pretrained("blackbeedrones/imav-2025-gate") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Add best.pt/onnx/engine (standard naming): best.engine
Browse files- .gitattributes +1 -0
- best.engine +3 -0
.gitattributes
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size 8997996
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