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Add instructions to create DataLoader from augmented dataset in object detection guide #5579

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Add instructions to create DataLoader from augmented dataset in object detection guide #5579

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b301e5e
:memo: Add instructions to create `DataLoader` from augmented dataset
Laurent2916 Feb 25, 2023
0cdfb03
:memo: fix wrong instructions in object_detection.mdx
Laurent2916 Feb 27, 2023
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15 changes: 15 additions & 0 deletions docs/source/object_detection.mdx
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Expand Up @@ -158,6 +158,21 @@ You can verify the transform works by visualizing the 10th example:
<img src="https://huggingface.co/datasets/nateraw/documentation-images/resolve/main/visualize_detection_example_transformed_2.png">
</div>

Finally, if you wish to create a [`torch.utils.data.DataLoader`](https://alband.github.io/doc_view/data.html?highlight=torch%20utils%20data%20dataloader#torch.utils.data.DataLoader), you can do so as follows:

```py
>>> from torch.utils.data import DataLoader

>>> def collate_fn(examples):
... return {
... "images": torch.stack([example["image"] for example in examples]),
... "bboxes": torch.stack([example["bbox"] for example in examples]),
... "categories": [example["category"] for example in examples],
... }

>>> loader = DataLoader(ds['train'], batch_size=8, collate_fn=collate_fn)
```

<Tip>

Now that you know how to process a dataset for object detection, learn
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