Blog

Measure and improve pre-labeling workflows with the automation efficiency score

Most ML teams operate blindly or struggle to quantify the efficiency of their pre-labeling process. Today, Labelbox is launching the automation efficiency score –a new way to track, measure, and improve your pre-labeling efficiency and time savings in single dashboard.

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.

Better visualize and track model errors at every iteration

Find and fix label errors for text data, understand model weaknesses with in-depth metrics, and easily compare results for different model runs with different hyperparameters.

Accelerate AI development and search for more granular data with new features

We’ve focused recent product development on a host of improvements to help drive greater insight and productivity across annotation, data curation, and model training workflows.

Labelbox joins Air Force’s $950 million JADC2 effort

Labelbox today announced it is one of the companies who have been awarded a $950 million ceiling indefinite-delivery/indefinite-quantity contract by the U.S. Air Force.

Iterate and ship models faster with our newest features

We’ve focused recent product development on end-to-end workflow to help teams iterate and ship models faster than ever. Curate and prepare training datasets, have greater visibility into the processing status and searchability of your data rows, SDK updates, and more.

Optimize the efficiency and quality of your training data with our newest features

We’ve focused recent product development to help users better optimize the throughput, efficiency, and quality of training data production. You can now more powerfully search for data rows within a project, visualize ground truth and predictions in Catalog, and more.

Increase labeling velocity and optimize workflows with our newest features

We’ve continued to focus product development to help teams increase labeling velocity and optimize their data management workflows. We’re also excited to announce key improvements to our editors to better support text and documents.