from ultralytics import YOLO

Load a model

model = YOLO("yolov8n.pt")

Train the model

train_results = model.train( data="coco8.yaml", # path to dataset YAML epochs=100, # number of training epochs imgsz=640, # training image size device="cpu", # device to run on, i.e. device=0 or device=0,1,2,3 or device=cpu )

Evaluate model performance on the validation set

metrics = model.val()

Perform object detection on an image

results = model("path/to/image.jpg") results[0].show()

Export the model to ONNX format

path = model.export(format="onnx") # return path to exported model