benjaminlq

 from ultralytics import YOLO

 model = YOLO("./runs/detect/train/weights/best.pt")

 # It'll use the data yaml file in model.pt if you don't set data.
 model.val(conf=0.5)
 # or you can set the data you want to val
 model.val(data="./datasets/boat.yaml", conf=0.5)

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!yolo task=detect mode=val model=./runs/detect/train/weights/best.pt data=./datasets/boat.yaml conf=0.5

benjaminlq

from ultralytics import YOLO

# Load a model
model = YOLO("yolov8n.pt")  # load a pretrained model 

# Train the model
results = model.train(data="./datasets/boat.yaml", imgsz=800, batch=8, epochs=50, plots=True)

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!yolo task=detect mode=train model=yolov8s.pt data=./datasets/boat.yaml imgsz=800 batch=8 epochs=50 plots=True

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!git clone https://github.com/ultralytics/ultralytics
!pip install -e ultralytics

benjaminlq

### Install YOLOv8 ###
!pip install ultralytics

benjaminlq