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@ -1,260 +1,268 @@
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---
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title: 'Creating an annotation task'
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linkTitle: 'Creating an annotation task'
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title: 'Create annotation task'
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linkTitle: 'Create annotation task'
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weight: 2
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description: 'Instructions on how to create and configure an annotation task.'
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description: 'How to create and configure an annotation task.'
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---
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Create an annotation task pressing `+` button and select `Create new task` on the tasks page or on the project page.
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To start annotating in CVAT, you need to create an annotation task and specify its parameters.
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To create a task, on the **Tasks** page click **+** and
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select **Create new task**.
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> Notice that the task will be created inside the organization that you had selected at the time of creation.
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> Read more about [organizations](/docs/manual/advanced/organization/).
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Specify parameters of the task:
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See:
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## Basic configuration
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- [Creating a task](#creating-a-task)
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- [Label shape](#label-shape)
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- [Add an attribute](#add-an-attribute)
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- [Select files](#select-files)
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- [Editing labels in RAW format](#editing-labels-in-raw-format)
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- [Data formats for a 3D task](#data-formats-for-a-3d-task)
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- [Advanced configuration](#advanced-configuration)
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### Name
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## Creating a task
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The name of the task to be created.
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To create a new task, open task configurator:
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### Projects
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And specify the following parameters:
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The project that this task will be related with.
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1. In the **Name** field, enter the name of the new task.
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### Labels
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2. (Optional) From the **Projects** drop-down, select a project for the new task.
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<br>Leave this field empty if you do not want to assign the task to any project.
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There are two ways of working with labels (available only if the task is not related to the project):
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- The `Constructor` is a simple way to add and adjust labels. To add a new label click the `Add label` button.
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> **Note:** Followin steps are valid if the task does not belong to a project.
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> <br>If the task has been assigned to a project, the project's labels will be applied to the task.
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3. On the **Constructor** tab, click **Add label**.
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<br>The label constructor menu will open:
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You can set a name of the label in the `Label name` field and choose a color for each label.
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4. In the **Label name** field, enter the name of the label.
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5. (Optional) To limit the use of the label to a certain [shape tool](/docs/manual/basics/controls-sidebar/#shapes),
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from the [**Label shape**](#label-shape) drop-down select the shape.
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6. (Optional) Select the color for the label.
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If necessary you can add an attribute and set its properties by clicking `Add an attribute`:
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7. (Optional) Click [**Add an attribute**](#add-an-attribute) and set up its properties.
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8. Click [**Select files**](#select-files) to upload files for annotation.
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9. Click **Continue** to submit the label and start adding a new one
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<br> or **Cancel** to terminate the current label and return you to the labels list.
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10. Click **Submit and open** to submit the configuration and open the created task,
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<br>or **Submit and continue**, to submit the configuration and start a new task.
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The following actions are available here:
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### Label shape
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1. Set the attribute’s name.
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1. Choose the way to display the attribute:
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- Select — drop down list of value
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- Radio — is used when it is necessary to choose just one option out of few suggested.
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- Checkbox — is used when it is necessary to choose any number of options out of suggested.
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- Text — is used when an attribute is entered as a text.
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- Number — is used when an attribute is entered as a number.
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1. Set values for the attribute. The values could be separated by pressing `Enter`.
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The entered value is displayed as a separate element which could be deleted
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by pressing `Backspace` or clicking the close button (x).
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If the specified way of displaying the attribute is Text or Number,
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the entered value will be displayed as text by default (e.g. you can specify the text format).
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1. Checkbox `Mutable` determines if an attribute would be changed frame to frame.
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1. You can delete the attribute by clicking the close button (x).
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Labels (or classes) are categories of objects that you can annotate.
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Click the `Continue` button to add more labels.
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If you need to cancel adding a label - press the `Cancel` button.
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After all the necessary labels are added click the `Done` button.
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After clicking `Done` the added labels would be displayed as separate elements of different colour.
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You can edit or delete labels by clicking `Update attributes` or `Delete label`.
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**Label shape** limits the use of the label to certain [shape tool](/docs/manual/basics/controls-sidebar/#shapes).
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- The `Raw` is a way of working with labels for an advanced user.
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Raw presents label data in _json_ format with an option of editing and copying labels as a text.
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The `Done` button applies the changes and the `Reset` button cancels the changes.
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`Any` is the default setting that does not limit the use of the
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label to any particular shape tool.
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### Select files
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For example, you added:
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Press tab `My computer` to choose some files for annotation from your PC.
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If you select tab `Connected file share` you can choose files for annotation from your network.
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If you select ` Remote source` , you'll see a field where you can enter a list of URLs (one URL per line).
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If you upload a video or dataset with images and select `Use cache` option, you can attach a `manifest.jsonl` file.
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You can find how to prepare it [here](/docs/manual/advanced/dataset_manifest/).
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If you select the `Cloud Storage` tab, you can select a cloud storage (for this type the cloud storage name),
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after that choose the manifest file and select the required files.
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For more information on how to attach cloud storage, see [attach cloud storage](/docs/manual/basics/attach-cloud-storage/)
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- Label `sun` with the **Label shape** type `ellipse`
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- Lable `car` with the **Label shape** type `any`
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As a result:
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### Data formats for a 3D task
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- The `sun` label will be available only for ellipse shape.
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- The `car` label will be available for all shapes.
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To create a 3D task, you must prepare an archive with one of the following directory structures:
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{{< tabpane >}}
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{{< tab header="Velodyne" >}}
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VELODYNE FORMAT
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Structure:
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velodyne_points/
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data/
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image_01.bin
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IMAGE_00 # unknown dirname,
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# generally image_01.png can be under IMAGE_00, IMAGE_01, IMAGE_02, IMAGE_03, etc
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data/
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image_01.png
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{{< /tab >}}
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{{< tab header="3D pointcloud" >}}
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3D POINTCLOUD DATA FORMAT
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Structure:
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pointcloud/
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00001.pcd
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related_images/
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00001_pcd/
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image_01.png # or any other image
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{{< /tab >}}
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{{< tab header="3D Option 1" >}}
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3D, DEFAULT DATAFORMAT Option 1
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Structure:
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data/
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image.pcd
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image.png
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{{< /tab >}}
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{{< tab header="3D Option 2" >}}
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3D, DEFAULT DATAFORMAT Option 2
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Structure:
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data/
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image_1/
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image_1.pcd
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context_1.png # or any other name
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context_2.jpg
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{{< /tab >}}
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{{< /tabpane >}}
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> You can't mix 2D and 3D data in the same task.
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The tools on the [Controls sidebar](/docs/manual/basics/controls-sidebar/)
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will be limited to the selected types of shapes.
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## Advanced configuration
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For example, if you select `Any`,
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all tools will be available,
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but if you select `Rectangle` for all labels,
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only the **Rectangle** tool will be
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visible on the sidebar.
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> **Note:** You cannot apply the **Label shape**
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> to the **AI** and **OpenCV** tools,
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> these tools will always be available.
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You can change the shape of the label as needed.
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This change will not affect the existing annotation.
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For example, if you created objects using polygons and then changed
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the label shape to polylines, all previously created objects will remain
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polygons. However, you will not be able to add new polygon
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objects with the same label.
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### Sorting method
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> **Note:** You cannot change the shape of the `skeleton` label.
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> <br>The **Label shape** field for the `skeleton` label is disabled.
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Option to sort the data. It is not relevant for videos.
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For example, the sequence `2.jpeg, 10.jpeg, 1.jpeg` after sorting will be:
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- `lexicographical`: 1.jpeg, 10.jpeg, 2.jpeg
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- `natural`: 1.jpeg, 2.jpeg, 10.jpeg
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- `predefined`: 2.jpeg, 10.jpeg, 1.jpeg
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### Add an attribute
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### Use zip/video chunks
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**Attribute** is a property of an annotated object,
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such as color, model, or other quality.
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Force to use zip chunks as compressed data. Cut out content for videos only.
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For example, you have a label for `face` and want to
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specify the type of face. Instead of creating additional
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labels for `male` and `female`, you can use attributes
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to add this information.
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### Use cache
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There are two types of attributes:
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Defines how to work with data. Select the checkbox to switch to the "on-the-fly data processing",
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which will reduce the task creation time (by preparing chunks when requests are received)
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and store data in a cache of limited size with a policy of evicting less popular items.
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See more [here](/docs/manual/advanced/data_on_fly/).
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- **Immutable** attributes are unique and do not change from frame to frame.
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For example, `age`, `gender`, and `color`.
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- **Mutable** attributes are temporary and can change from frame to frame.
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For example, `pose`, `quality`, and `truncated`.
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### Image Quality
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Added attributes will be available from the **Objects menu**:
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Use this option to specify quality of uploaded images.
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The option helps to load high resolution datasets faster.
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Use the value from `5` (almost completely compressed images) to `100` (not compressed images).
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### Overlap Size
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To add an attribute, do the following:
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Use this option to make overlapped segments.
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The option makes tracks continuous from one segment into another.
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Use it for interpolation mode. There are several options for using the parameter:
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1. Go to the **Constructor** tab and click **Add attribute**.
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- For an interpolation task (video sequence).
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If you annotate a bounding box on two adjacent segments they will be merged into one bounding box.
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If overlap equals to zero or annotation is poor on adjacent segments inside a dumped annotation file,
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you will have several tracks, one for each segment, which corresponds to the object.
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- For an annotation task (independent images).
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If an object exists on overlapped segments, the overlap is greater than zero
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and the annotation is good enough on adjacent segments, it will be automatically merged into one object.
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If overlap equals to zero or annotation is poor on adjacent segments inside a dumped annotation file,
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you will have several bounding boxes for the same object.
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Thus, you annotate an object on the first segment.
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You annotate the same object on second segment, and if you do it right, you
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will have one track inside the annotations.
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If annotations on different segments (on overlapped frames)
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are very different, you will have two shapes for the same object.
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This functionality works only for bounding boxes.
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Polygons, polylines, points don't support automatic merge on overlapped segments
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even the overlap parameter isn't zero and match between corresponding shapes on adjacent segments is perfect.
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### Segment size
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2. In the **Name** field enter the name of the attribute.
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3. From the drop-down, select way to display the attribute in the **Objects menu**:
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Use this option to divide a huge dataset into a few smaller segments.
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For example, one job cannot be annotated by several labelers (it isn't supported).
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Thus using "segment size" you can create several jobs for the same annotation task.
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It will help you to parallel data annotation process.
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- `Select` enables a drop-down list, from which you can select an attibute. <br>If in
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the **Attribute value** field you add `__undefined__`,
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the drop-down list will have a blank value.<br>
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This is useful for cases where the attribute of the object cannot be clarified:
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### Start frame
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- 
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Frame from which video in task begins.
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- `Radio` enables the selection of one option from several options.
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- `Checkbox` enables the selection of multiple options.
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- `Text` sets the attribute to a text field.
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- `Number` sets the attribute to numerical field in the following format: `min;max;step`.
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### Stop frame
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4. In the **Attribute values** field, add attribute values. <br>To separate values use **Enter**.
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<br>To delete value, use **Backspace** or click **x** next to the value name.
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5. (Optional) For mutable attributes, select **Mutable**.
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Frame on which video in task ends.
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To delete an attribute, click **Delete attribute**.
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### Frame Step
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### Select files
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Use this option to filter video frames.
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For example, enter `25` to leave every twenty fifth frame in the video or every twenty fifth image.
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There are several ways to upload files:
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### Chunk size
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<!--lint disable maximum-line-length-->
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Defines a number of frames to be packed in a chunk when send from client to server.
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Server defines automatically if empty.
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| Data source | Description |
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| -------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| My computer | Use this option to select files from your laptop or PC. <br> To select file: <br>1. Click on the **Select files** field: <br>. <br> 2. Select files to upload. |
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| Connected file share | **Advanced option**. <br>Upload files from a local or cloud shared folder. <br>**Note**, that you need to mount a fileshare first. <br>For more information, see [Share path](/docs/administration/basics/installation/#share-path) |
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| Remote source | Enter a list of URLs (one per line) in the field. |
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| Cloud Storage | **Advanced option**. <br>To upload files from cloud storage, type the cloud storage name, choose the manifest file, and select the required files. <br> For more information, see [Attach cloud storage](/docs/manual/basics/attach-cloud-storage/) |
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Recommended values:
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<!--lint enable maximum-line-length-->
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- 1080p or less: 36
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- 2k or less: 8 - 16
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- 4k or less: 4 - 8
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- More: 1 - 4
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### Editing labels in RAW format
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### Dataset Repository
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The **Raw** is a way of working with labels for an advanced user.
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URL link of the repository optionally specifies the path to the repository for storage
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(`default: annotation / <dump_file_name> .zip`).
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The .zip and .xml file extension of annotation are supported.
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Field format: `URL [PATH]` example: `https://github.com/project/repos.git [1/2/3/4/annotation.xml]`
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It is useful when you need to copy labels from one independent task to another.
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Supported URL formats :
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> **Note:** Be careful with changing the raw specification of an existing task/project.
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> Removing any "id" properties will lead to losing existing annotations.
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> **This property will be removed automatically from any text you insert to this field**.
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- `https://github.com/project/repos[.git]`
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- `github.com/project/repos[.git]`
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- `git@github.com:project/repos[.git]`
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After the task is created, the synchronization status is displayed on the task page.
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Raw presents label data in _.json_ format with an option of editing and copying labels as text.
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The **Done** button applies the changes and the **Reset** button cancels the changes.
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If you specify a dataset repository, when you create a task, you will see a message
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about the need to grant access with the ssh key.
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This is the key you need to [add to your github account](https://github.com/settings/keys).
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For other git systems, you can learn about adding an ssh key in their documentation.
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### Data formats for a 3D task
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### Use LFS
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To create a 3D task, you must prepare an archive with one of the following directory structures.
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If the annotation file is large, you can create a repository with
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[LFS](https://git-lfs.github.com/) support.
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> **Note:** You can't mix 2D and 3D data in the same task.
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### Issue tracker
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{{< tabpane >}}
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{{< tab header="Velodyne" >}}
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VELODYNE FORMAT
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Structure:
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velodyne_points/
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data/
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image_01.bin
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IMAGE_00 # unknown dirname,
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# generally image_01.png can be under IMAGE_00, IMAGE_01, IMAGE_02, IMAGE_03, etc
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data/
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image_01.png
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{{< /tab >}}
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{{< tab header="3D pointcloud" >}}
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3D POINTCLOUD DATA FORMAT
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Structure:
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pointcloud/
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00001.pcd
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related_images/
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00001_pcd/
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image_01.png # or any other image
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Specify full issue tracker's URL if it's necessary.
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{{< /tab >}}
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{{< tab header="3D Option 1" >}}
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3D, DEFAULT DATAFORMAT Option 1
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Structure:
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data/
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image.pcd
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image.png
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{{< /tab >}}
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{{< tab header="3D Option 2" >}}
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3D, DEFAULT DATAFORMAT Option 2
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Structure:
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data/
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image_1/
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image_1.pcd
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context_1.png # or any other name
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context_2.jpg
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{{< /tab >}}
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{{< /tabpane >}}
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### Source storage
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Specify source storage for import resources like annotations and backups. It can be a local or a cloud storage.
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If the task is created in the project, then the `Use project source storage` switch will determine whether
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to use the default values or specify new ones.
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## Advanced configuration
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### Target storage
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Use advanced configuration to set additional parameters for the task
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and customize it to meet specific needs or requirements.
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Specify target storage for export resources like annotations and backups. It can be a local or a cloud storage.
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If the task is created in the project, then the `Use project target storage` switch will determine whether
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to use the default values or specify new ones.
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|

|
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To save and open task click on `Submit & Open` button. Also you
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can click on `Submit & Continue` button for creating several tasks in sequence.
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Then, the created tasks will be displayed on a [tasks page](/docs/manual/basics/tasks-page/).
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The following parameters are available:
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<!--lint disable maximum-line-length-->
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|
| Element | Description |
|
|
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|
|
| -------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
|
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|
|
| Sorting method | **Note:** Does not work for the video data. <br><br>Several methods to sort the data. <br> For example, the sequence `2.jpeg`, `10.jpeg`, `1.jpeg` after sorting will be: <br><br><li> **Lexicographica**: `1.jpeg`, `10.jpeg`, `2.jpeg` <li> **Natural**: `1.jpeg`, `2.jpeg`, `10.jpeg` <li> **Predefined**: `2.jpeg`, `10.jpeg`, `1.jpeg` <li> **Random** uploads data in random order. |
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| Use zip/video chunks | Use this parameter to divide your video or image dataset for annotation into short video clips a zip file of frames. <br>Zip files are larger but do not require decoding on the client side, and video clips are smaller but require decoding. <br>It is recommended to turn off this parameter for video tasks to reduce traffic between the client side and the server. |
|
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|
| Use cache | Select checkbox, to enable _on-the-fly_ data processing to reduce task creation time and store data in a cache with a policy of <br>evicting less popular items. <br><br>For more information, see [Data preparation on the fly](/docs/manual/advanced/data_on_fly/). |
|
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|
| Image Quality | CVAT has two types of data: original quality and compressed. Original quality images are used for dataset export<br> and automatic annotation. Compressed images are used only for annotations to reduce traffic between the server <br>and client side. <br> It is recommended to adjust the compression level only if the images contain small objects that are not <br>visible in the original quality. <br> Values range from `5` (highly compressed images) to `100` (not compressed |
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|
| Overlap Size | Use this parameter to create overlapped segments, making tracking continuous from one segment to another. <br><br>**Note** that this functionality only works for bounding boxes. <br><br>This parameter has the following options: <br><br>**Interpolation task** (video sequence). If you annotate with a bounding box on two adjacent segments, they will be<br> merged into a single bounding box. In case the overlap is zero or the bounding box is inaccurate (not enclosing the object <br>properly, misaligned or distorted) on the adjacent segments, it may be difficult to accurately interpole the object's <br>movement between the segments. As a result, multiple tracks will be created for the same object. <br><br>**Annotation task** (independent images). If an object exists on overlapped segments with overlap greater than zero, <br>and the annotation of these segments is done properly, then the segments will be automatically merged into a single<br> object. If the overlap is zero or the annotation is inaccurate (not enclosing the object properly, misaligned, distorted) on the<br> adjacent segments, it may be difficult to accurately track the object. As a result, multiple bounding boxes will be <br>created for the same object. <br><br>If the annotations on different segments (on overlapped frames) are very different, you will have two shapes <br>for the same object. <br><br>To avoid this, accurately annotate the object on the first segment and the same object on the second segment to create a track <br>between two annotations. |
|
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|
|
| Segment size | Use this parameter to divide a dataset into smaller parts. For example, if you want to share a dataset among multiple<br> annotators, you can split it into smaller sections and assign each section to a separate job. <br>This allows annotators to work on the same dataset concurrently. |
|
|
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|
|
| Start frame | Defines the first frame of the video. |
|
|
|
|
|
| Stop frame | Defines the last frame of the video. |
|
|
|
|
|
| Frame Step | Use this parameter to filter video frames or images in a dataset. Specify frame step value to include only <br>certain frames or images in the dataset. <br>For example, if the frame step value is `25`, the dataset will include every 25th frame or image. If a video <br>has `100` frames, setting the frame step to `25` will include only frames `1`, `26`, `51`, `76`, and `100` in the dataset. <br>This can be useful for reducing the size of the dataset, or for focusing on specific frames or images that are <br>of particular interest. |
|
|
|
|
|
| Chunk size | Defines amount of frames to be packed in a chunk when send from client to server. <br>The server defines automatically if the chunk is empty. <br>Recommended values: <li> 1080p or less: 36 <li> 2k or less: 8 <li>16 - 4k or less: 4 <li>8 - More: 1 - 4 |
|
|
|
|
|
| Dataset repository | **Advanced option**. <br>URL link of the repository that specifies the path to the repository for storage (`default: annotation / <dump_file_name> .zip`).<br>Supports _.zip_ and _.xml_ formats. <br><br>Field format: `URL [PATH]` example: `https://github.com/project/repos.git [1/2/3/4/annotation.xml]` <br><br> Supported URL formats: <li>`https://github.com/project/repos[.git]` <li>`github.com/project/repos[.git]` <li>`git@github.com:project/repos[.git]` <br><br> After the task is created, the synchronization status will show up on the task page. <br> If you specify a dataset repository, when you create a task, you will see a message about the need to grant access with <br>the ssh key. <br> This is the key you need to [add to your github account](https://github.com/settings/keys). <br> For other git systems, you can learn about adding an ssh key in their documentation. |
|
|
|
|
|
| Use LFS | **Advanced option**. <br>Use this parameter for big annotation files, to create a repository with [LFS](https://git-lfs.github.com/) support. |
|
|
|
|
|
| Issue tracker | Use this parameter to specify the issue tracker URL. |
|
|
|
|
|
| Source storage | Specify the source storage for importing resources like annotations and backups. <br>If the task was assigned to the project, use the **Use project source storage** toggle to determine whether to <br>use project values or specify new ones. |
|
|
|
|
|
| Target storage | Specify the target storage (local or cloud) for exporting resources like annotations and backups. <br>If the task is created in the project, use the **Use project target storage** toggle to determine whether to<br> use project values or specify new ones. <br>To save and open the task click **Submit & Open** . <br>To create several tasks in sequence, click on the **Submit & Continue**.<br> Created tasks will be displayed on a [tasks page](/docs/manual/basics/tasks-page/). |
|
|
|
|
|
|
|
|
|
|
<!--lint enable maximum-line-length-->
|
|
|
|
|
|