Object Detection
ultralytics
PyTorch
detectionbench
computer-vision
agriculture
wheat
precision-agriculture
dense-detection
Eval Results (legacy)
Instructions to use dronefreak/gwhd-yolov8m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use dronefreak/gwhd-yolov8m 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/gwhd-yolov8m") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Download BoxPR_curve.png from dronefreak/gwhd-yolov8m: direct link, hf CLI and curl.
- Browser
- Download file 91.8 kB
-
https://huggingface.co/dronefreak/gwhd-yolov8m/resolve/main/BoxPR_curve.png
- Command line
-
hf download hf://dronefreak/gwhd-yolov8m/BoxPR_curve.png
-
curl -L -o BoxPR_curve.png https://huggingface.co/dronefreak/gwhd-yolov8m/resolve/main/BoxPR_curve.png
91.8 kB
