Object Detection
ultralytics
YOLOv10
tracking
instance-segmentation
image-classification
pose-estimation
obb
yolo
yolov8
yolov3
yolov5
yolov9
Instructions to use Ultralytics/YOLOv8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use Ultralytics/YOLOv8 with ultralytics:
from ultralytics import YOLOvv8 model = YOLOvv8.from_pretrained("Ultralytics/YOLOv8") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - YOLOv10
How to use Ultralytics/YOLOv8 with YOLOv10:
from ultralytics import YOLOvv8 model = YOLOvv8.from_pretrained("Ultralytics/YOLOv8") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7aa7ba626cfcfc5a6ceb536834b19cd84da8829dfb310170b4f4ff802832aacb
- Size of remote file:
- 52.1 MB
- SHA256:
- 6c25b0b63b1a433843f06d821a9ac1deb8d5805f74f0f38772c7308c5adc55a5
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