Object Detection
ultralytics
ONNX
yolo
instance-segmentation
image-classification
pose-estimation
obb
tracking
semantic-segmentation
yolo26
Instructions to use prithivMLmods/YOLO26-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use prithivMLmods/YOLO26-ONNX with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("prithivMLmods/YOLO26-ONNX") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- yolo26l-cls
- yolo26l-obb
- yolo26l-pose
- yolo26l-seg
- yolo26l
- yolo26m-cls
- yolo26m-obb
- yolo26m-pose
- yolo26m-seg
- yolo26m
- yolo26n-cls
- yolo26n-obb
- yolo26n-pose
- yolo26n-seg
- yolo26n
- yolo26s-cls
- yolo26s-obb
- yolo26s-pose
- yolo26s-seg
- yolo26s
- yolo26x-cls
- yolo26x-obb
- yolo26x-pose
- yolo26x-seg
- yolo26x
- 1.52 kB
- 25.2 kB
- 10.1 kB