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236 lines
10 KiB
Markdown
236 lines
10 KiB
Markdown
---
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title: Dataset Versions
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---
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Use the Dataset versioning WebApp (UI) features for viewing, creating, modifying, and
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deleting [Dataset versions](../dataset.md#dataset-versioning).
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## Dataset Version History
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The WebApp (UI) presents your dataset version structure in list view <img src="/docs/latest/icons/ico-list-view.svg" alt="List view" className="icon size-md space-sm" />
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or tree view <img src="/docs/latest/icons/ico-tree-view.svg" alt="Tree view" className="icon size-md space-sm" />.
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The list view lists the dataset's versions chronologically by last update time.
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The tree view shows the lineage of the dataset's versions.
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Use the search bar to find specific versions. You can query by version name or version description. The search returns
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all versions that match the query.
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In tree view, parent versions that do not match the query where a child version does appear in a muted color.
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### Version Actions
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Access dataset version actions, by right-clicking a version, or through the menu button <img src="/docs/latest/icons/ico-dots-v-menu.svg" alt="Dot menu" className="icon size-md space-sm" /> (available on hover).
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* **Rename** - Change the version’s name
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* **Create New Version** - Creates a child version of a *Published* dataset version. The new version is created in a *draft*
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state, and inherits all the parent version's frames
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* **Delete** - Delete the version. Only *Draft* versions can be deleted.
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* **Publish** - Make a *Draft* version read-only to preserve its contents.
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## Version Data
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A selected dataset version's information and contents are presented on the main section of the page, to the right of
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the dataset's version list.
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The version information is presented in the following tabs:
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* [Frames](#frames)
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* [Statistics](#statistics)
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* [Metadata](#metadata)
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* [Info](#info)
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## Frames
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The **Frames** tab displays the contents of the selected dataset version.
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View the version's frames as thumbnail previews or in a table. Use the view toggle to switch between thumbnail
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view <img src="/docs/latest/icons/ico-grid-view.svg" alt="thumbnail view" className="icon size-md space-sm" /> and
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table view <img src="/docs/latest/icons/ico-table-view.svg" alt="table view" className="icon size-md space-sm" /> .
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Use the thumbnail view for a visual preview of the version's frames. You can increase <img src="/docs/latest/icons/ico-zoom-in.svg" alt="Zoom in" className="icon size-md space-sm" />
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and decrease <img src="/docs/latest/icons/ico-zoom-out.svg" alt="Zoom out" className="icon size-md space-sm" /> the size of
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the previews.
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Use the table view to list the version’s frames in a customizable table. Click <img src="/docs/latest/icons/ico-settings.svg" alt="Setting Gear" className="icon size-md" />
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for column customization options.
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The dataset version's frames can be filtered by multiple criteria. The resulting frames can be exported as a JSON file.
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To view the details of a specific frame, click on its preview, which will open the [Frame Viewer](webapp_datasets_frames.md#frame-viewer).
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### Simple Frame Filtering
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Simple frame filtering returns frames containing at least one annotation with a specified label.
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**To apply a simple frame filter,** select a label from the **LABEL FILTER** list.
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<Collapsible type="screenshot" title="Simple filter example">
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* The **FRAMES** tab in the image below contains 101 frames.
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* A simple label filter for `teddy bear` shows three frames, each containing at least one ROI labeled `teddy bear`.
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</Collapsible>
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### Advanced Frame Filtering
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Alternatively, a combination of ROI, frame, and source rules can be specified to apply more elaborate and specific
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filters.
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**To apply advanced filters:**
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1. In the **FRAMES** tab, click **Advanced filters**.
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1. In a **FRAME FILTER**, create one of the following rules:
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* ROI rule - Use "Include" and "Exclude" conditions to match frames by ROI label; frames match the rule when
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containing at least one annotation object (ROI) with **all** labels in the rule. Click <img src="/docs/latest/icons/ico-code.svg" alt="Lucene query mode" className="icon size-md space-sm" />
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to explicitly specify your rule with Lucene
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* Frame rule - Query frame metadata. Enter a Lucene query of frame metadata fields in the format `meta.<key>:<value>`
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(can use AND, OR, and NOT operators).
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* Source rule - Query frame source information. Enter a Lucene query of frame metadata fields in the format
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`sources.<key>:<value>` (can use AND, OR, and NOT operators).
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A frame filter can contain a number of rules. For each frame filter, the rules are applied with a logical AND operator. For example, the dataset version in the image below has one filter. “Frame Filter 1” has two rules:
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1. ROI rule - the frame must include an ROI with the `cat` label
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2. Source rule - the frames must be 640 pixels wide.
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The returned frames are those that match the first rule AND the second rule within the frame filter.
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Create additional frame filters by clicking <img src="/docs/latest/icons/ico-add.svg" alt="Add new" className="icon size-md space-sm" />.
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Multiple frame filters are applied with a logical OR operator.
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For example, the dataset version in the image below has two frame filters. "Frame Filter 1" has the same two rules
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described in the example above. "Frame Filter 2" specifies an ROI rule for the frame to contain an ROI with the label
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`dog`. So the frames returned are those that match ALL of Frame Filter 1’s rules OR ALL of Frame Filter 2’s rules.
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To clear all filters click <img src="/docs/latest/icons/ico-filter-reset.svg" alt="Clear filters" className="icon size-md" />.
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#### Filtering Examples
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<Collapsible type="screenshot" title="ROI Rules">
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* Create one ROI rule for the `teddy bear` label, which shows the same three frames as the simple frame filter (above).
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* In the ROI rule, add a second label. Add `partially_occluded`. Only frames containing at least one ROI labeled as both
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`teddy bear` and `partially_occluded` match the filter.
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* By opening a frame in the frame viewer, you can see an ROI labeled with both.
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</Collapsible>
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<Collapsible type="screenshot" title="Frame Rules">
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Filter by metadata using Lucene queries.
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* Add a frame rule to filter by the metadata key `dangerous` for the value of `yes`.
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* Open a frame in the frame viewer to see its metadata.
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</Collapsible>
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<Collapsible type="screenshot" title="Source Rules">
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Filter by sources using Lucene queries.
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* Add a source rule to filter for sources URIs with wildcards.
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Lucene queries can also be used in ROI label filters and frame rules.
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</Collapsible>
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### Exporting Frames
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To export (download) the filtered frames as a JSON file, click <img src="/docs/latest/icons/ico-bars-menu.svg" alt="Menu" className="icon size-md space-sm" /> > **EXPORT FRAMES**.
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### Frame Browser Configuration
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Click <img src="/docs/latest/icons/ico-bars-menu.svg" alt="Menu" className="icon size-md space-sm" /> to open the
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frame browser configuration settings.
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#### Grouping Previews
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FrameGroups or SingleFrames can share the same `context_id` (URL). For example, users can set the same `context_id`
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to multiple FrameGroups that represent frames in a single video.
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Use the **Grouping** menu to select one of the following options:
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* Split Preview - Show separate previews for each individual FrameGroup, regardless of shared context.
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* Group by URL - Show a single preview for all FrameGroups with the same context
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#### Preview Source
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When using multi-source FrameGroups, users can choose which of the FrameGroups’ sources will be displayed as the preview.
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Select a source from the **PREVIEW SOURCE** menu.
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Choose the `Default preview source` option to present the first available source.
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:::note Unavailable Source
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If a FrameGroup doesn't have the selected preview source, the preview displays the "Source not available" message.
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:::
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## Statistics
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The **Statistics** tab displays a dataset version's label usage stats.
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* Each label is listed along with the number of times it was used in the version
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* The pie chart visualizes these stats. Hover over a chart slice and its associated label and usage
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percentage will appear at the center of the chart.
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## Metadata
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The **Metadata** tab presents any additional metadata that has been attached to the dataset version.
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**To edit a version's metadata,**
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1. Hover over the metadata box and click on the **EDIT** button
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1. Edit the section contents (JSON format)
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1. Click **OK**
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## Info
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The **Info** tab presents a version's general information:
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* Version ID
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* Version name
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* Dataset ID
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* Dataset name
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* Dataset description
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* Dataset tags
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* Status (*Draft* or *Published*)
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* Creating user
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* Version update time
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* Number of frames
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* Percentage of annotated frames
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* Version description (editable, hover over element and click <img src="/docs/latest/icons/ico-edit.svg" alt="Edit pencil" className="icon size-md space-sm" />)
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