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Documentation, updated info about downloading annotations and exporting projects #3546

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removed duplicate info from projects
  • Loading branch information
amotovx committed Aug 13, 2021
commit 40addd20e60878359d65868a7a0d7a3d8aa3e504
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1. Choose the format for exporting the dataset. Exporting is available in several formats:

- [CVAT for video](/docs/manual/advanced/xml_format/#interpolation)
is highlighted if a task has the interpolation mode.
choose if the task is created in interpolation mode.
- [CVAT for images](/docs/manual/advanced/xml_format/#annotation)
is highlighted if a task has the annotation mode.
choose if a task is created in annotation mode.

![](/images/image029.jpg 'Example XML format')

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1. (Optional) To name the resulting archive, use the `Custom name` field.

![](/images/image225.jpg)

It is also possible to export an entire project, instead of individual tasks. Information about that
is available in the [Projects](/docs/manual/advanced/projects/#export-project) section.
37 changes: 8 additions & 29 deletions site/content/en/docs/manual/advanced/projects.md
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Expand Up @@ -42,32 +42,11 @@ You can remove the project and all related tasks through the Action menu.

### Export project

It is possible to download an entire project instead of exporting individual tasks.
To export a project, do the following:

1. Open the `Actions` menu.
1. Press the `Export project dataset` button.
1. In the pop-up menu choose the format for exporting the project. Exporting is available in several formats:
- [CVAT for video](/docs/manual/advanced/xml_format/#interpolation)
- [CVAT for images](/docs/manual/advanced/xml_format/#annotation)
- [PASCAL VOC](http://host.robots.ox.ac.uk/pascal/VOC/)
- [(VOC) Segmentation mask](http://host.robots.ox.ac.uk/pascal/VOC/)
- [YOLO](https://pjreddie.com/darknet/yolo/)
- [COCO](http://cocodataset.org/#format-data)
- [TFRecord](https://www.tensorflow.org/tutorials/load_data/tfrecord)
- [MOT](https://motchallenge.net/)
- [LabelMe 3.0](http://labelme.csail.mit.edu/Release3.0/)
- [Datumaro](https://github.com/openvinotoolkit/cvat/tree/develop/cvat/apps/dataset_manager/formats/datumaro)
- [ImageNet](http://www.image-net.org/)
- [CamVid](http://mi.eng.cam.ac.uk/research/projects/VideoRec/CamVid/)
- [WIDER Face](http://shuoyang1213.me/WIDERFACE/)
- [VGGFace2](https://github.com/ox-vgg/vgg_face2)
- [Market-1501](https://www.aitribune.com/dataset/2018051063)
- [ICDAR13/15](https://rrc.cvc.uab.es/?ch=2)

For 3D tasks, the following formats are available:
- [Kitti Raw Format 1.0](http://www.cvlibs.net/datasets/kitti/raw_data.php)
- Sly Point Cloud Format 1.0 - Supervisely Point Cloud dataset

1. To download images with the dataset, tick the `Save images` box.
1. (Optional) To name the resulting archive, use the `Custom name` field.
It is possible to download an entire project instead of exporting individual tasks. In this case,
annotations for all tasks in a project will be available in a single archive.
To export a project, do the following on the `Project` page:
- Open the `Actions` menu.
- Press the `Export project dataset` button.

Additional information about exporting tasks can be found in the
[Downloading annotations](/docs/manual/advanced/downloading-annotations/) section.