"Could you please explain what this '1.0' represents? Does it indicate the percentage of all images?"

[Gebbap]

[UltralyticsAssistant]

👋 Hello @Gebbap, thank you for your interest in Ultralytics 🚀! We recommend a visit to the Docs for new users where you can find many Python and CLI usage examples and where many of the most common questions may already be answered.

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[glenn-jocher]

@Gebbap that '1.0' likely represents the confidence score of the prediction, indicating the model's certainty that the detected object is a 'person'.

[Gebbap]

is the parameter＂crop_fraction＂can be zero when training Yolov8?

[glenn-jocher]

@Gebbap crop_fraction=1 disables cropping augmentation.

[Gebbap]

thank you ：）

[glenn-jocher]

The crop_fraction parameter supports values between 0.1 and 1.0 as documented in Training Augmentation Settings. For implementation details, see the classify_transforms function in our data augmentation reference. Let us know if you need further clarification! 🚀

[Y-T-G]

It's for classification model training

1.0 means it's not cropped at all. If you use 0.5, then it will take a random crop that is 50% of the original image size

[Gebbap]

thank you ：）

[glenn-jocher]

@Gebbap yes, the crop_fraction=1.0 indicates full-size crops (no cropping) during classification training. For details on this parameter and other augmentation settings, see the Classification Augmentation documentation.

This keeps the response factual, confirms the user's correct understanding, and provides a specific documentation reference without unnecessary repetition.