Blog

Introducing natural language querying, a new navigation experience, and more

New in Labelbox: Search for data with natural language querying, navigate Labelbox with less friction, and more.

Debugging models made easy with auto-computed metrics

New in Labelbox Model: Automatically surface model failures and labeling mistakes, debug segmentation models faster than ever, and more.

Fine-tune language models to your use case with right data

New in Labelbox Annotate: Unlock new NER text use cases with the document and conversational text editor, video editor improvements, and more.

Text search and improved data previews

New in Labelbox Catalog: Preview HTML data rows and the ability to conduct searches with plain text (coming soon)

Find model failures with auto-generated metrics

New in Labelbox Model: Teams can soon surface high-impact model failures with auto-generated metrics.

Optimize pre-labeling efficiency with automation metrics

New in Labelbox Annotate: Optimize model-assisted labeling, queue & review better, and more.

Leverage powerful embeddings to surface high-impact data in one click

New in Labelbox Catalog: One-click similarity search, faster data row identification, and more.

Better understand and visualize data rows to surface high-impact data faster

Labelbox has made visibility and usability enhancements across Catalog, Annotate, and Model. Teams can now identify and fix data row processing errors, easily reorder ontology nodes, better visualize ground truth and predictions in Model, and more.

Annotate documents, HTML files, high-resolution pathology slides, and queue & review data better with custom workflows

Leverage our document editor for both NER and OCR annotations, view data in a specific manner with our HTML editor, deep zoom on tiled imagery for medical use cases, and more. As we continue to release Workflows across our customer base, teams can more effectively queue and review their data rows.

Prevent duplicate data uploads, save data slices, metadata metrics, and more

We've introduced a new system to identify data rows to allow teams to query faster and prevent duplicate uploads, introduced metadata analytics, and are making a host of exciting improvements to our embedding capabilities.