Docs updates for HUB, YOLOv4, YOLOv7, NAS (#3174)
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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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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---
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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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@ -176,4 +177,4 @@ i.e. `yolo predict model=yolov8n-cls.onnx`. Usage examples are shown for your mo
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| [TF.js](https://www.tensorflow.org/js) | `tfjs` | `yolov8n-cls_web_model/` | ✅ | `imgsz` |
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| [PaddlePaddle](https://github.com/PaddlePaddle) | `paddle` | `yolov8n-cls_paddle_model/` | ✅ | `imgsz` |
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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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