# 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.amazonaws.cn/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<br />**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).<br />**Sequence files**: .json | Refer to [Input Manifest Files for 3D Point Cloud Labeling Jobs](sms-point-cloud-input-manifest.md). |