Update docs metadata (#3781)
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---
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comments: true
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description: Check YOLO class label with only one class for the whole image, using image classification. Get strategies for training and validation models.
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keywords: YOLOv8n-cls, image classification, pretrained models
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description: Learn about YOLOv8 Classify models for image classification. Get detailed information on List of Pretrained Models & how to Train, Validate, Predict & Export models.
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keywords: Ultralytics, YOLOv8, Image Classification, Pretrained Models, YOLOv8n-cls, Training, Validation, Prediction, Model Export
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Image classification is the simplest of the three tasks and involves classifying an entire image into one of a set of
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@ -178,4 +178,4 @@ i.e. `yolo predict model=yolov8n-cls.onnx`. Usage examples are shown for your mo
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| [PaddlePaddle](https://github.com/PaddlePaddle) | `paddle` | `yolov8n-cls_paddle_model/` | ✅ | `imgsz` |
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| [ncnn](https://github.com/Tencent/ncnn) | `ncnn` | `yolov8n-cls_ncnn_model/` | ✅ | `imgsz`, `half` |
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See full `export` details in the [Export](https://docs.ultralytics.com/modes/export/) page.
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See full `export` details in the [Export](https://docs.ultralytics.com/modes/export/) page.
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