Object Detection
ultralytics
yolo
yolo11
yolo26
sod
uav
drone
aerial
small-object-detection
search-and-rescue
civil-protection
visdrone
Instructions to use RoblabWhGe/ARGUS-YOLO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use RoblabWhGe/ARGUS-YOLO 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("RoblabWhGe/ARGUS-YOLO", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Download assets/ARGUS_object_size_boxplot.png from RoblabWhGe/ARGUS-YOLO: direct link, hf CLI and curl.
- Browser
- Download file 46.8 kB
-
https://huggingface.co/RoblabWhGe/ARGUS-YOLO/resolve/main/assets/ARGUS_object_size_boxplot.png
- Command line
-
hf download hf://RoblabWhGe/ARGUS-YOLO/assets/ARGUS_object_size_boxplot.png
-
curl -L -o ARGUS_object_size_boxplot.png https://huggingface.co/RoblabWhGe/ARGUS-YOLO/resolve/main/assets/ARGUS_object_size_boxplot.png
46.8 kB
