init

.gitignore

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+runs

1.py

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+from ultralytics import YOLO
+
+# Load a pre-trained YOLOv10n model
+model = YOLO("./yolov10x.pt")
+model.train(data="./dataset.yaml", epochs=3)
+
+# Perform object detection on an image
+results = model("./1.jpg")
+
+# Display the results
+results[0].show()

dataset.yaml

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+train: F:/PythonLib/yolo/demo2/dataset/train/images
+val: F:/PythonLib/yolo/demo2/dataset/val/images
+
+nc: 1  # number of classes
+names: ['cabbage']  # class names

dataset/train/labels/1.txt

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+0 0.483689 0.523293 0.680901 0.762967

dataset/val/labels/1.txt

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+0 0.483689 0.523293 0.680901 0.762967