# Image Segmentation

## Setup the Dataset

Navigate to [udt.dev](https://udt.dev) and click "New File"

![Click "New File" on udt.dev](/files/-MI11H2GNT530d7n2r1Q)

Then select the Image Segmentation button from the `Setup > Data Type` page.

![](/files/-MI5yZO_K24uUxEykcwf)

You can configure the Image Segmentation to create the right interface for your dataset. Use the `Setup > Preview` button to see your interface against either an example image or a sample from your dataset.

![Image Segmentation with Bounding Box Classification](/files/-MI62IzcaVvt6pVMSitu)

#### Configuring Regions and Labels

The Image Segmentation interface allows different types of regions, the options for regions are:

* bounding-box
* polygon
* point

Each region can any number of labels, which can be configured under "Available Labels"

![](/files/-MI619VeDw1PxdldrLTz)

## Import Data

You can use any of the following methods to import image data. If you're just getting started, you can quickly create a dataset using the COCO Images method!

* [Import COCO Dialog](/importing-data/coco-images.md)
* [Import from Google Drive](/importing-data/import-from-google-drive.md)
* [Import from AWS S3 Bucket](/importing-data/import-from-aws-s3-bucket.md)
* [Import from List of URLs](/importing-data/import-file-urls.md)
* [Import from CSV or JSON](/importing-data/import-from-csv-or-json.md)
* [Upload or Open Directory](/importing-data/upload-or-open-directories.md)

## Label your Data!

Use the `Label` tab to label your data. Look at the [Collaborative Labeling Guide](/collaborative-labeling.md) to label with others.

## Export and Use

You can download your data using the download icon at the top.

![Download your data in CSV or JSON format to use the annotations](/files/-MIC16UN_c6e0nF3J9QH)

You can use the [Universal Data Tool Converter](https://universaldatatool.com/convert) to convert UDT files into PNG masks, or other formats that are helpful for machine learning datasets.

![It's very common to convert into PNGs](/files/-MIC289RAzqgyoTZQ1u4)


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