Catalog search and view compatibility

While the filters noted below are supported out of the box, Labelbox supports multiple strategies to extend the core offerings. You can bring your own custom metadata and enhance similarity search capabilities using custom embeddings.

Then, combine any supported filters with your enriched metadata and embeddings to accomplish any of your search and curation objectives. For more information on combined searches, check out the page here.

Supported search filters (basic)

Make any data type queryable with custom metadata

As noted above, Labelbox supports metadata on any data type. Consider the abundance of ways in which you can extend our core filters with custom metadata and the various sources you can utilize to create this information.

For an example of how to get started, check out this blog post on how to make your data queryable using foundation models.

Supported search filters (advanced)

* Natural language search uses the off-the-shelf CLIP-ViT-B-32 model (512 dimensions).

Similarity (embeddings)

Search for similarity on any data type with custom embeddings

As noted above, Labelbox supports custom embeddings on any data type. Powerful embeddings can be generated using foundational models and easily uploaded to Labelbox. You can then use these embeddings in combination with any of the above filters to accomplish virtually any data search goal.

For an example of how to get started, check out this guide on how to generate custom embeddings using foundational models and upload them to Labelbox.

Data viewing