Voxel51, the leading solution for building visual AI applications, unveiled three powerful built-in workflows to streamline data curation and model analysis, enabling enterprise teams to develop visual AI applications at the scale and efficiency critical for real-world production. Through Voxel51’s commercial offering, FiftyOne Enterprise, these workflows simplify the labor-intensive processes of extracting, analyzing, and applying insights during data curation and model refinement––addressing a major challenge in large-scale data pipelines.
Organizations today manage billions of visual data samples to develop innovative AI applications that understand and interact with the real world. However, the quality of data significantly impacts the reliability of AI models. Without data-centric workflows and robust tooling, teams struggle to understand their data and model weaknesses and the steps to improving them. Successfully scaling these workflows to production-grade datasets is key to ensuring AI systems perform accurately in real-world environments.
Data Curation and Model Analysis Innovation
Voxel51’s built-in data curation and model analysis workflows were developed to reinvent how visual data is used to develop AI models and applications. With this release, FiftyOne Enterprise delivers an integrated solution that can extract valuable intelligence from diverse visual data and automate the iterative processes of using that data to build dependable AI models. Exhibiting exceptional ease of use and flexibility for how AI builders work, these new workflows provide the ability to diagnose and resolve model failures, detect edge case scenarios, and enhance datasets to close critical data gaps for successfully developing visual AI applications.
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“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,” said Voxel51 co-founder and CEO Brian Moore. “These built-in workflows reduce the burden and promote streamlined ML development, enabling AI teams to focus on what’s important: delivering reliable AI models for their production use cases.”
“FiftyOne’s Model Evaluation and Data Lens workflows allow us to efficiently scale testing and comparison of AI models, particularly with large-scale datasets. The granular understanding of model performance they offer across different data segments helps us pinpoint challenging scenarios and refine our datasets to drive continuous improvement of our AI models,” said Lanny Lin, Sr. Director of Engineering, Innovation, Vivint.
Organizations using FiftyOne have reported up to 50% improvement in productivity and up to 30% gains in model accuracy.
Source: PRNewswire