Documentation
  • Introduction
  • Tutorials
    • Getting started
    • Python SDK quickstart
    • Model-assisted labeling
  • How to annotate
    • Label images
      • View and navigate in the image interfaces
      • Image interface settings
      • Image segmentation interface
      • Image vector interface
    • Label 3D point clouds
      • View and navigate in the 3D interface
      • Upload, view, and overlay images
      • 3D interface settings
      • 3D point cloud cuboid interface
      • 3D point cloud vector interface
      • 3D point cloud segmentation interface
      • Merged point cloud view (for static objects)
      • Batch mode (for dynamic objects)
      • Smart cuboid propagation
      • 3D to 2D Projection
      • Tips for labeling cuboid sequences
    • Label sequences of data
      • Use track IDs in sequences
      • Use keyframe interpolation
    • Annotate object links (beta)
    • Customize hotkeys
  • How to manage
    • Add collaborators to a dataset
    • Create an organization
    • Configure the label editor
    • Customize label queue
    • Search within a dataset
    • Clone a dataset
    • Work with issues
    • Bulk change label status
    • Manage QA processes
  • How to integrate
    • Import data
      • Cloud integrations
    • Export data
      • Structure of the release file
      • Exporting image annotations to different formats
    • Integrations
      • Hugging Face
      • W&B
      • Databricks
      • SceneBox
    • Create an API key
    • Upload model predictions
    • Set up webhooks
  • Background
    • Main concepts
    • Sequences
    • Label queue mechanics
    • Labeling metrics
    • 3D Tiles
    • Security
  • Reference
    • Python SDK
    • Task types
    • Sample formats
      • Supported file formats
    • Label formats
    • Categories and attributes
    • API
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  • Search syntax
  • Examples

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  1. How to manage

Search within a dataset

With the search bar, you can search for samples by their name, metadata attributes, and label content.

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Last updated 2 years ago

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Search syntax

To search by sample name, just type the full or partial name of a sample.

To search by metadata attribute, use the key:value syntax.

To search by number of objects of a category in a labelset, use the labelset.category:=value syntax, or labelset.total_count:=value to search by total number of objects.

To search by labeler and reviewer of a sample, use the labeled-by:username or reviewed-by:username syntax.

For string values, use the : operator. For numeric values, use the operators :=,:>, :>=, :< and :<= to search for values that are equal to, greater than, greater than or equal to, less than, and less than or equal to another value. For list values, use the :| operator to search for a value contained in the list.

Queries can be combined by separating them with a space. They will be ANDed together.

Examples

Examples

image_grayscale matches samples with the word "image_grayscale" in their name.

city:london matches samples with a metadata attribute "city" set to "london".

vehicle_id:>3 matches samples with a metadata attribute "vehicle_id" set to a value larger than 3.

ground-truth.car:>=5 matches samples where the "ground-truth" label contains 5 or more "car" objects.

my-predictions.car:<5 matches samples where the "my-predictions" label contains less than 5 "car" objects.

my-predictions.total_count:<=20 matches samples where the "my-predictions" label contains 20 or fewer objects in total.

city:london ground-truth.car:>0 my-predictions.car:=0 matches samples where metadata attribute "city" is set to "london" AND the "ground-truth" label contains more than 0 "car" objects AND the "my-predictions" label contains 0 "car" objects.

tags:|red matches samples where metadata attribute "tags" is a list of values ["red", "green", "blue"].

labeled-by:jane matches samples labeled by the user with username jane.

Search by metadata attributes and label content