Instructions to use dronefreak/visdrone-yolo11x with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use dronefreak/visdrone-yolo11x 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/visdrone-yolo11x", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Download BoxPR_curve.png from dronefreak/visdrone-yolo11x: direct link, hf CLI and curl.
- Browser
- Download file 341 kB
-
https://huggingface.co/dronefreak/visdrone-yolo11x/resolve/main/BoxPR_curve.png
- Command line
-
hf download hf://dronefreak/visdrone-yolo11x/BoxPR_curve.png
-
curl -L -o BoxPR_curve.png https://huggingface.co/dronefreak/visdrone-yolo11x/resolve/main/BoxPR_curve.png
341 kB

- Xet hash:
- 06d495b65488a7f5b4e7b504a46bfad5b8fd8c3c0139a4e5dd6d9351c5bbee3f
- Size of remote file:
- 341 kB
- SHA256:
- 1f72ee27c0dbdc2457c003175034adccb27db9f5a804600aca3ea9d0de5ad9ad
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