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---
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title: 'Downloading annotations'
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linkTitle: 'Downloading annotations'
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weight: 1
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---
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1. To download the latest annotations, you have to save all changes first.
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Сlick the `Save` button. There is a `Ctrl+S` shortcut to save annotations quickly.
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1. After that, сlick the `Menu` button.
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1. Press the `Export task dataset` button.
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1. Choose the format for exporting the dataset. Exporting is available in several formats:
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- [CVAT for video](/docs/manual/advanced/xml_format/#interpolation)
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choose if the task is created in interpolation mode.
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- [CVAT for images](/docs/manual/advanced/xml_format/#annotation)
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choose if a task is created in annotation mode.
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- [PASCAL VOC](http://host.robots.ox.ac.uk/pascal/VOC/)
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- [(VOC) Segmentation mask](http://host.robots.ox.ac.uk/pascal/VOC/) —
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archive contains class and instance masks for each frame in the png
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format and a text file with the value of each color.
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- [YOLO](https://pjreddie.com/darknet/yolo/)
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- [COCO](http://cocodataset.org/#format-data)
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- [TFRecord](https://www.tensorflow.org/tutorials/load_data/tfrecord)
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- [MOT](https://motchallenge.net/)
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- [LabelMe 3.0](http://labelme.csail.mit.edu/Release3.0/)
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- [Datumaro](https://github.com/openvinotoolkit/cvat/tree/develop/cvat/apps/dataset_manager/formats/datumaro)
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- [ImageNet](http://www.image-net.org/)
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- [CamVid](http://mi.eng.cam.ac.uk/research/projects/VideoRec/CamVid/)
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- [WIDER Face](http://shuoyang1213.me/WIDERFACE/)
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- [VGGFace2](https://github.com/ox-vgg/vgg_face2)
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- [Market-1501](https://www.aitribune.com/dataset/2018051063)
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- [ICDAR13/15](https://rrc.cvc.uab.es/?ch=2)
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For 3D tasks, the following formats are available:
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- [Kitti Raw Format 1.0](http://www.cvlibs.net/datasets/kitti/raw_data.php)
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- Sly Point Cloud Format 1.0 - Supervisely Point Cloud dataset
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1. To download images with the dataset tick the `Save images` box
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1. (Optional) To name the resulting archive, use the `Custom name` field.
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