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432 lines
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Markdown
432 lines
22 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 tree view <img src="/docs/latest/icons/ico-tree-view.svg" alt="Tree view" className="icon size-md space-sm" />
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or list view <img src="/docs/latest/icons/ico-list-view.svg" alt="List view" className="icon size-md space-sm" />.
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The tree view shows the lineage of the dataset's versions.
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<div class="max-w-50">
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</div>
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The list view lists the dataset's versions chronologically by last update time.
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<div class="max-w-50">
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</div>
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Click <img src="/docs/latest/icons/ico-sort.svg" alt="Sort order" className="icon size-md space-sm" /> to order the
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dataset versions in ascending or descending order based on their last update time.
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Use the search bar to find specific versions. You can query by version name, version description, or version ID. 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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<div class="max-w-50">
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</div>
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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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:::tip Publishing versions
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When publishing a version, you can create an additional working copy. The new version is created in a *draft* state, and
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inherits all the published version's frames.
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<div class="max-w-75">
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</div>
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:::
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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](#exporting-frames).
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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 <img src="/docs/latest/icons/ico-advanced-filters.svg" alt="Advanced filters" className="icon size-md space-sm" /> (**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 according to ROI label. If the "Include"
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condition is used, frames match the rule if they contain at least one annotation object (ROI) with ALL labels in the
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rule. If the "Exclude" condition is used, frames match the rule if NONE of their ROIs contain the label. Multiple ROI
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rules in the same filter are evaluated independently against all frame ROIs. Meaning, a frame will match the filter
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if it contains at least one annotation matching each rule, even if the annotations are in different ROIs. 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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* To find frames that contain multiple ROIs, each with a different label, use separate ROI rules. Create an ROI rule for
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the `teddy bear` label and, in the same filter, add another ROI rule for the `person` label. This will return all
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frames that include at least one ROIs with a `person` label AND at least one (other) ROI with a `teddy bear` label.
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* You can also exclude certain ROI labels. Create an ROI rule to include `teddy bear` and, in the same filter, an ROI
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rule to exclude `person`. This will return all frames that include at least one ROI with the label `teddy bear` AND have
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NO ROI with the `person` label
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</Collapsible>
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<Collapsible type="screenshot" title="Frame Rules: Metadata">
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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="Frame Rules: Date and Time Fields">
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If your dataset includes a metadata field that stores date and time information, you can filter
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based on date ranges or specific time intervals.
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Filter by date/time metadata fields using Lucene queries.
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* **Data range filter**
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* Add a frame rule to filter by the metadata key `updated` for the value of `[2024-10-20 TO 2024-10-20]`. The query
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will match all frames where the `updated` value matches October 20th 2024. Use the format `meta.<field_name>.[YYYY-MM-DD TO YYYY-MM-DD]`.
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* Open a frame in the frame viewer to see its metadata.
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* **Time interval filter**
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* Add a frame rule to filter by the metadata key `updated` for the value of `[2024-10-20T08:00:00 TO 2024-10-20T09:00:00]`.
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The query will match all frames where the updated value is between 08:00 and 09:00 on October 20th 2024.
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Use the format `meta.<field_name>.[YYYY-MM-DDThh:mm:ss TO YYYY-MM-DDThh:mm:ss]`.
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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 source 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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### Sorting Frames
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Sort the dataset version’s frames by any of the following attributes:
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* ID
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* Last update time
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* Dimensions (height)
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* Timestamp
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* Context ID
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* Metadata key - Click `+ Metadata Key` and select the desired key for sorting
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Click <img src="/docs/latest/icons/ico-sort.svg" alt="Sort order" className="icon size-md space-sm" /> to toggle between ascending and descending sort orders.
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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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<div class="max-w-75">
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</div>
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#### Grouping Previews
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Use the **Grouping** menu to set how to display frames that share a common property:
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* **Split Preview** - Show a separate preview for each individual FrameGroup
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* **Group by URL** - Show a single preview for all FrameGroups with the same context ID. For example, users can set the
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same `context_id` to multiple FrameGroups that represent frames in a single video.
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* **Sample by Property** - Specify a frame or ROI property whose value to group frames by and set the number of frames
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to preview for each group. For example, in the image below, frames are grouped by ROI labels. Each group displays five
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samples of frames that contain an ROI with the same label.
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**To sample by property:**
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1. In the **Grouping** menu, click **Sample by Property**
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1. In the **Sample by Property** modal, input the following:
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* Select the Property type:
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* ROI - Properties associated with the frame ROIs (e.g. ROI label names, IDs, confidence, etc.)
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* Frame - Properties associated with the frames (e.g. update time, metadata, timestamp, etc.)
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* Property name - Property whose value to group the frames by
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* Sample size - Number of frames to preview for each group
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* ROI match query (*For grouping by ROI property only*) - A Lucene query to filter which of a frame's ROIs
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to use in grouping by their properties. For example, in a Hyper-Dataset where ROIs have object labels and type labels,
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view a sample of frames with different types of the same object by grouping frames according to `label.keyword`
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with a match query for the object of interest.
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<br/>
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<div class="max-w-50">
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</div>
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The image below shows a sample of 3 frames which have ROIs of each type (`pedestrian`, `rider`, `sitting`) of `person`.
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:::note Property N/A group
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If there are frames which have no value for the grouped by property, a sample of them will be provided as a final
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group. If you sample according to an ROI property, this group will NOT include frames that have no ROIS at all.
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:::
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1. Click **Save**
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Once saved, whenever you select the **Sample by Property** option in the **Grouping** menu, the frame will be grouped
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according to the previously configured setting.
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**To modify the grouping property:**
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1. Hover over **Sample by Property**
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1. Click <img src="/docs/latest/icons/ico-edit.svg" alt="Edit pencil" className="icon size-md space-sm" />
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1. Modify the **Sample by Property** configuration
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1. Click **Save**
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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 **Current Source** menu.
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Choose the `Default preview source` option to present the first available source for each frame (sources are retrieved in ASCIIbetical order).
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Choose the `All sources` option to present all the FrameGroup’s sources in a grid. In this view, the annotation panel
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shows annotations grouped by their respective sources. Additionally, annotation tools (e.g. create/delete/modify
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annotations) are not available in this view.
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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 allows exploring frame and ROI property distribution across a Hyper-Dataset version:
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1. Query the frames to include in the statistics calculations under **Filter by label**. Use [simple](#simple-frame-filtering)
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or [advanced](#advanced-frame-filtering) frame filters. If no filter is applied, all frames in the dataset version will
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be included in the calculation.
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1. Select the property whose distribution should be calculated
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* Select the property **Type**:
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* **ROI** - Frame ROI properties (e.g. ROI label, ID, confidence, etc.). This will calculate the distribution of
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the specified property across all ROIs in the version's frames.
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* **Frame** - Frames properties (e.g. update time, metadata keys, timestamp, etc.)
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* Input the **Property** key (e.g. `meta.location`)
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* If **ROI** property was selected, you can also limit the scope of ROIs included in the calculation with the
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**Count ROIs matching** filter: Input a Lucene query to specify which ROIs to count
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1. Click **Apply** to calculate the statistics
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For example, calculating the distribution for the `label` ROI property, specifying `rois.confidence: 1` for ROI matching
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will show the label distribution across only ROIs with a confidence level of 1.
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By default, the ROI label distribution across the entire Hyper-Dataset version is shown.
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The tab displays the following information
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* Object counts:
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* Number of annotations matching specification
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* Number of annotated frames in the current frame filter selection
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* Total number of frames in the current frame filter selection
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* Each property is listed along with its number of occurrences in the current frame filter selection
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* The pie chart visualizes this distribution. Hover over a chart segment and its associated property and count will
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appear in a tooltip and its usage 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 **EDIT**
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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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