Combining all filters

Labelbox search and curation capabilities allow for unmatched flexibility, scale, performance, and automation.

Flexibility of search

Labelbox search is uniquely flexible. Users can combine all kinds of filters in any arbitrary way. You can do both structured searches and unstructured searches at the same time.

• Structured searches include filters on metadata, annotations, metrics, confidence, datasets, projects, and more.
• Unstructured searches include similarity search, natural language search, and text search.

Combine different kinds of search results for even more powerful data curation. Training datasets that are carefully visualized, curated, and debugged are the most successful for increasing model performance.

Scale of search

Labelbox search operates at a scale of 100+ million data points. Building an in-house data catalog that scales to hundreds of millions of data points — and that provides results instantaneously in just one click — is difficult for even the most advanced machine learning teams.

Performance of search

At Labelbox, we pride ourselves on the performance of our search queries. Search queries take less than 15 seconds to return results, even on hundreds of millions of data points.

Visual search

Labelbox search results are visual. This makes it easy to refine and iterate on a search. Given the results from the previous search, you can easily add, remove or edit filters. With Labelbox, non-technical teams have the most powerful data exploration and data curation at their fingertips.

Automatic search

After populating filters in Catalog, you can save these filters as a slice of data. When you save a filter as a slice, you will not need to populate the same filters over and over again. Slices are dynamic, thus any incoming data rows in your Catalog will show up in the relevant slices.

Read through the following resources to learn how to take action on the filtered data:

• Refine the similarity search
• Send filtered data rows to a labeling project as a batch
• Add metadata to the filtered data rows

Collaborative search

Users can easily share search results with each other by sharing slice URLs.

Programmatic search

Coming soon.