Unlock the power of AI: Labelbox’s newest features to use and build better AI

Labelbox has introduced a range of product updates aimed at enhancing data enrichment, improving model training, and optimizing AI development. New features include enhanced data visualization and sharing capabilities across teams, improved data curation tools, and advanced automation for data enrichment. Users can now benefit from a masonry layout for asset thumbnails and natural language search in the Catalog, as well as updates to the Performance Dashboard and data row priority management. The updates also include consistent annotation and prediction displays, new tools for previewing annotations and predictions on various data formats, and an LLM data generation editor for fine-tuning large language models. Additionally, Labelbox has rolled out Auto-segment 2.0 and introduced the Model Foundry, a forthcoming platform to automate labeling and data enrichment tasks. These innovations are designed to streamline AI workflows and support the development of high-quality, efficient AI models.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.