Object Detection
ultralytics
Russian
yolov8
drone-detection
anti-uav
small-object-detection
Eval Results (legacy)
Instructions to use ReNothingg/drone-studio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use ReNothingg/drone-studio 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("ReNothingg/drone-studio", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Download observation/primary.json from ReNothingg/drone-studio: direct link, hf CLI and curl.
- Browser
- Download file 122 Bytes
-
https://huggingface.co/ReNothingg/drone-studio/resolve/main/observation/primary.json
- Command line
-
hf download hf://ReNothingg/drone-studio/observation/primary.json
-
curl -L -o primary.json https://huggingface.co/ReNothingg/drone-studio/resolve/main/observation/primary.json
122 Bytes
| { | |
| "inference_confidence": 0.31, | |
| "sensitive_confidence": 0.22999999999999998, | |
| "purpose": "independent observation" | |
| } | |