Instructions to use ajcasagrande/rc-race-vision with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use ajcasagrande/rc-race-vision with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("ajcasagrande/rc-race-vision") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
metadata
license: agpl-3.0
base_model:
- Ultralytics/YOLO11
pipeline_tag: object-detection
tags:
- rc
- racing
- yolo
- tracking
- vision
library_name: ultralytics
RC Race Vision
RC Car detection and tracking using Computer Vision and YOLOv11.
