# Supported data formats
<a name="sms-supported-data-formats"></a>

When you create an input manifest file for a [built-in task types](https://docs.aws.amazon.com/sagemaker/latest/dg/sms-task-types.html) manually, your input data must be in one of the following support file formats for the respective input data type. To learn about automated data setup, see [Automate data setup for labeling jobs](sms-console-create-manifest-file.md).

**Tip**  
When you use the automated data setup, additional data formats can be used to generate an input manifest file for video frame and text based task types.


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| Task Types | Input Data Type | Support Formats | Example Input Manifest Line | 
| --- | --- | --- | --- | 
|  Bounding Box, Semantic Segmentation, Image Classification (Single Label and Multi-label), Verify and Adjust Labels  |  Image  |  .jpg, .jpeg, .png  |  <pre>{"source-ref": "s3://amzn-s3-demo-bucket1/example-image.png"}</pre>  | 
|  Named Entity Recognition, Text Classification (Single and Multi-Label)  | Text | Raw text |  <pre>{"source": "Lorem ipsum dolor sit amet"}</pre>  | 
|  Video Classification  | Video clips | .mp4, .ogg, and .webm |  <pre>{"source-ref": "s3:///example-video.mp4"}</pre>  | 
| Video Frame Object Detection, Video Frame Object Tracking (bounding boxes, polylines, polygons or keypoint) | Video frames and video frame sequence files (for Object Tracking) |  **Video frames**: .jpg, .jpeg, .png **Sequence files**: .json  | Refer to [Create a Video Frame Input Manifest File](sms-video-manual-data-setup.md#sms-video-create-manifest). | 
|  3D Point Cloud Semantic Segmentation, 3D Point Cloud Object Detection, 3D Point Cloud Object Tracking  | Point clouds and point cloud sequence files (for Object Tracking) |  **Point clouds**: Binary pack format and ASCII. For more information see [Accepted Raw 3D Data Formats](sms-point-cloud-raw-data-types.md). **Sequence files**: .json  | Refer to [Input Manifest Files for 3D Point Cloud Labeling Jobs](sms-point-cloud-input-manifest.md). |