Object Detection
ultralytics
yolo
yolo11
military-vehicle-detection
convoy-detection
visdrone
aerial-detection
OmniSense
MediaSense
DeSense
ConnectiviaLabs
Instructions to use MuayThaiLegz/MilitaryConvoy-YOLO11L with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use MuayThaiLegz/MilitaryConvoy-YOLO11L with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("MuayThaiLegz/MilitaryConvoy-YOLO11L") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
| names: | |
| - pedestrian | |
| - person | |
| - bicycle | |
| - car | |
| - van | |
| - truck | |
| - tricycle | |
| - awning-tricycle | |
| - bus | |
| - motor | |
| - military-vehicle | |
| - tank | |
| - apc | |
| - afv | |
| - artillery | |
| nc: 15 | |
| path: /content/drive/MyDrive/OmniSense/MilitaryConvoy/data/merged | |
| train: train/images | |
| val: val/images | |