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ultralytics 8.0.106 (#2736)

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docs/tasks/classify.md
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@ -76,21 +76,7 @@ see the [Configuration](../usage/cfg.md) page.
### Dataset format
The YOLO classification dataset format is same as the torchvision format. Each class of images has its own folder and you have to simply pass the path of the dataset folder, i.e, `yolo classify train data="path/to/dataset"`
```
dataset/
├── train/
├──── class1/
├──── class2/
├──── class3/
├──── ...
├── val/
├──── class1/
├──── class2/
├──── class3/
├──── ...
```
YOLO classification dataset format can be found in detail in the [Dataset Guide](../datasets/classify/index.md).
## Val
@ -190,4 +176,4 @@ i.e. `yolo predict model=yolov8n-cls.onnx`. Usage examples are shown for your mo
| [TF.js](https://www.tensorflow.org/js) | `tfjs` | `yolov8n-cls_web_model/` | ✅ | `imgsz` |
| [PaddlePaddle](https://github.com/PaddlePaddle) | `paddle` | `yolov8n-cls_paddle_model/` | ✅ | `imgsz` |
See full `export` details in the [Export](https://docs.ultralytics.com/modes/export/) page.
See full `export` details in the [Export](https://docs.ultralytics.com/modes/export/) page.