Object Detection
ultralytics
PyTorch
detectionbench
computer-vision
agriculture
wheat
precision-agriculture
dense-detection
Eval Results (legacy)
Instructions to use dronefreak/gwhd-yolov8n with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use dronefreak/gwhd-yolov8n with ultralytics:
from huggingface_hub import hf_hub_download from ultralytics import YOLO # pick the weights file from this repo's "Files and versions" tab weights = hf_hub_download("dronefreak/gwhd-yolov8n", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Ctrl+K
Redesign card: usage moved up top, showcase/banner right under the title, fewer embedded images, leaner citations, shorter showcase mosaic; also fixes missing plot images (BoxP/BoxR/confusion_matrix_normalized) from the original upload
a007306 verified