Blog

Make your videos queryable using foundation models

Learn how to quickly make your videos queryable by using foundation models (such as OpenAI, Meta and Hugging Face) alongside Labelbox Catalog. Explore all your videos that contain specific keywords or audio and derive faster business insights.

Labelbox expands partnership with Google Cloud to help teams build AI applications faster

Learn how ML teams can now leverage Labelbox’s AI platform and Google Cloud’s leading AI and Data Cloud tools, solutions, and services, including BigQuery and Vertex AI.

Labelbox Engineer Matt Chambers wins 2023 Academy Award for Scientific and Technical Achievements

Matt Chambers was recognized for his achievements in render farm management system design with an Academy Award during the Scientific and Technical Awards presentation on February 24th.

Use Labelbox to explore public datasets

You can now browse over 30+ large scale public datasets directly through Labelbox.

Group, prioritize, and analyze data with slices and a new way to export your data

New in Labelbox Model: Prioritize and save high-impact data rows as slices, filter on metadata, and a new way to export data rows across your projects.

Automatically track objects, control playback, and navigate frames on video data

New in Labelbox Annotate: A variety of improvements to our video editor including a one-click automated bounding box tracking experience, and more.

Explore new public datasets, surface and save data slices

New in Labelbox Catalog: Explore assets from public datasets across use cases, surface data with a natural language search or the "Find text" filter

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.

Year in review: Labelbox 2022 product highlights

Discover some of the most impactful recent updates to Labelbox Catalog, Annotate, and Model.

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.