Object Detection
ultralytics
ONNX
tracking
instance-segmentation
image-classification
pose-estimation
obb
yolo
yolov8
Instructions to use webnn/yolov8m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use webnn/yolov8m with ultralytics:
from ultralytics import YOLOvv8 model = YOLOvv8.from_pretrained("webnn/yolov8m") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
| { | |
| "do_normalize": false, | |
| "do_pad": false, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "feature_extractor_type": "ImageFeatureExtractor", | |
| "resample": 2, | |
| "rescale_factor": 0.00392156862745098, | |
| "size": { | |
| "shortest_edge": 224 | |
| }, | |
| "size_divisibility": 32 | |
| } |