Instructions to use dxvyaaa/yolo_helmet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use dxvyaaa/yolo_helmet with ultralytics:
from ultralytics import YOLOvv8 model = YOLOvv8.from_pretrained("dxvyaaa/yolo_helmet") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - YOLOv10
How to use dxvyaaa/yolo_helmet with YOLOv10:
from ultralytics import YOLOvv8 model = YOLOvv8.from_pretrained("dxvyaaa/yolo_helmet") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
| { | |
| "model-index": [ | |
| { | |
| "name": "yolov8-helmet", | |
| "filename": "best.pt", | |
| "sha": "", | |
| "size": "22.5MB", | |
| "framework": "pytorch", | |
| "task": "image-object-detection", | |
| "pipeline_tag": "image-object-detection", | |
| "tags": ["yolov8", "helmet", "object-detection"] | |
| } | |
| ] | |
| } | |