Voxel51 has introduced three built-in workflows to enhance data curation and model analysis, helping enterprise teams build visual AI applications more efficiently. Available through FiftyOne Enterprise, these workflows aim to simplify the extraction, analysis, and application of insights, addressing challenges in large-scale data pipelines and enabling production-grade AI performance.

Organizations developing AI applications manage vast amounts of visual data, yet the quality of this data is critical to model reliability. Without effective workflows and tooling, teams struggle to identify weaknesses and improve their models. Voxel51’s new workflows automate key processes, providing AI developers with tools to diagnose and resolve model failures, detect edge cases, and refine datasets.

Brian Moore, co-founder and CEO of Voxel51, emphasized the importance of efficient workflows in AI development. “It’s impossible to develop solid visual AI at the speed and scale necessary to stay competitive when you’re struggling to piece together information and understand the right actions to improve data and model quality,” he said. Companies using FiftyOne report up to a 50% increase in productivity and a 30% boost in model accuracy.

New FiftyOne Enterprise Workflows:

• Data Quality: Identifies issues such as near duplicates, blurry samples, and fake images, allowing users to enhance dataset integrity and avoid downstream model performance problems.
• Data Lens: Enables direct access to billions of external data samples, streamlining the data selection and curation process for enterprise-scale AI pipelines.
• Model Evaluation: Provides an intuitive way to assess model performance, compare results across multiple runs, and take corrective action to improve models.

Voxel51’s solutions are already being used by enterprises like LG Electronics, Berkshire Grey, and Precision Planting to accelerate AI adoption across industries. From manufacturing to healthcare, FiftyOne Enterprise is helping businesses transform visual AI initiatives from concept to production at scale.