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9 changes: 8 additions & 1 deletion docs/source/image_classification.mdx
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Expand Up @@ -78,4 +78,11 @@ You can verify the transformation worked by indexing into the `pixel_values` of
<div class="flex justify-center">
<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/datasets/img_clf_aug.png">
<img class="hidden dark:block" src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/datasets/img_clf_aug.png"/>
</div>
</div>

<Tip>

To learn how to leverage 🤗 Datasets end-to-end for training an image classification model, refer to
[this notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/image_classification.ipynb).

</Tip>
3 changes: 3 additions & 0 deletions docs/source/object_detection.mdx
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Expand Up @@ -154,6 +154,9 @@ You can verify the transform works by visualizing the 10th example:
... )
```

To learn how to leverage parts of 🤗 datasets end-to-end for training an object detection model, refer to
[this notebook](https://nbviewer.org/github/NielsRogge/Transformers-Tutorials/blob/master/YOLOS/Fine_tuning_YOLOS_for_object_detection_on_custom_dataset_%28balloon%29.ipynb).

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@sayakpaul sayakpaul Nov 2, 2022

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@NielsRogge is there a plan to leverage more parts of datasets in this notebook? I have gone through the notebook and it felt like it was necessary to leverage torchvision in some parts to get the data pipeline ready.

Let me know.

<div class="flex justify-center">
<img src="https://huggingface.co/datasets/nateraw/documentation-images/resolve/main/visualize_detection_example_transformed_2.png">
</div>