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Adding missing MNIST160 reference in Docs (#16836)

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Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
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Jan Knobloch 2024-10-11 15:08:46 +02:00 • committed by GitHub
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docs/en/datasets/classify/index.md
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@ -113,6 +113,7 @@ Ultralytics supports the following datasets with automatic download:
- [Imagenette](imagenette.md): A smaller subset of ImageNet that contains 10 easily distinguishable classes for quicker training and testing. - [Imagenette](imagenette.md): A smaller subset of ImageNet that contains 10 easily distinguishable classes for quicker training and testing.
- [Imagewoof](imagewoof.md): A more challenging subset of ImageNet containing 10 dog breed categories for image classification tasks. - [Imagewoof](imagewoof.md): A more challenging subset of ImageNet containing 10 dog breed categories for image classification tasks.
- [MNIST](mnist.md): A dataset of 70,000 grayscale images of handwritten digits for image classification tasks. - [MNIST](mnist.md): A dataset of 70,000 grayscale images of handwritten digits for image classification tasks.
- [MNIST160](mnist.md): First 8 images of each MNIST category from the MNIST dataset. Dataset contains 160 images total.
### Adding your own dataset ### Adding your own dataset

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docs/en/datasets/index.md
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@ -85,6 +85,7 @@ Pose estimation is a technique used to determine the pose of the object relative
- [Imagenette](classify/imagenette.md): A smaller subset of ImageNet that contains 10 easily distinguishable classes for quicker training and testing. - [Imagenette](classify/imagenette.md): A smaller subset of ImageNet that contains 10 easily distinguishable classes for quicker training and testing.
- [Imagewoof](classify/imagewoof.md): A more challenging subset of ImageNet containing 10 dog breed categories for image classification tasks. - [Imagewoof](classify/imagewoof.md): A more challenging subset of ImageNet containing 10 dog breed categories for image classification tasks.
- [MNIST](classify/mnist.md): A dataset of 70,000 grayscale images of handwritten digits for image classification tasks. - [MNIST](classify/mnist.md): A dataset of 70,000 grayscale images of handwritten digits for image classification tasks.
- [MNIST160](classify/mnist.md): First 8 images of each MNIST category from the MNIST dataset. Dataset contains 160 images total.
## [Oriented Bounding Boxes (OBB)](obb/index.md) ## [Oriented Bounding Boxes (OBB)](obb/index.md)

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docs/en/usage/python.md
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@ -51,7 +51,7 @@ Train mode is used for training a YOLO11 model on a custom dataset. In this mode
!!! example "Train" !!! example "Train"
=== "From pretrained(recommended)" === "From pretrained (recommended)"
```python ```python
from ultralytics import YOLO from ultralytics import YOLO