> For the complete documentation index, see [llms.txt](https://labelflow.gitbook.io/labelflow/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://labelflow.gitbook.io/labelflow/import-dataset/import-annotations.md).

# Import Annotations

LabelFlow can ingest Labels in the COCO format into a dataset. For that you must drop a COCO .json file in the uploader. The COCO .json file contains the annotations of your dataset images.

* Open an existing dataset or create a new one
* First import your images
  * Press the **Add images** button on the top right
  * Drag and drop your images in the uploader
  * Select **Start Labeling** once the import is finished
* Second import your annotations
  * Press the **Add images** button again
  * **Drag and drop your annotation file in the COCO format**
* Select **Start Labeling** once the import is finished

It's that easy. 🔥👌

![](https://3560202825-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-MhJNEsutg2ISXpTj5K5%2Fuploads%2FCMZV3faVjn2Q9B9HzaiC%2FScreen%20Recording%202021-11-09%20at%2014.24.23.mov.gif?alt=media\&token=9c05edc8-318c-43e0-8e7b-f67f5c5ad731)

{% hint style="info" %}
This feature allows you to share a dataset with someone: from LabelFlow export the dataset in COCO format, your colleague can then import the annotation file in a new dataset.
{% endhint %}