Voxel51 provides the FiftyOne platform, which enables machine learning and computer vision teams to efficiently curate, visualize, and manage large datasets while automating the identification of annotation errors. This technology enhances model performance by ensuring high-quality data is readily available for training and evaluation, streamlining the development of visual AI applications.
Funding
$45.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Machine learning and computer vision teams face challenges in efficiently managing, visualizing, and curating large datasets, which are critical for training and evaluating models. Identifying annotation errors and ensuring data quality are time-consuming and often manual processes.
Solution
Voxel51's FiftyOne platform provides a comprehensive solution for visual AI development, enabling teams to refine data and models at scale. The platform facilitates the curation, visualization, and management of large datasets, streamlining the process of building production-ready visual AI applications. FiftyOne automates the identification of annotation errors, allowing users to improve model performance by ensuring high-quality data is readily available for training and evaluation.
Target Audience
The primary audience includes machine learning engineers, data scientists, and computer vision teams who need to efficiently manage and improve the quality of their datasets for visual AI development.
Features
- Dataset visualization: Explore, search, and slice datasets to quickly find samples and labels that match specific criteria.
- Data curation: Identify duplicates, minimize bias, and correct label mistakes to curate high-quality datasets.
- Model evaluation: Evaluate and refine model metrics, such as accuracy and false positives, across various scenarios and edge cases.
- Integration with ML tools: Integrates with tools such as COCO, Google's Open Images, ActivityNet, CVAT, Label Studio, and Ultralytics.
- Automation: Automate machine learning workflows with pre-built workflows and extensibility capabilities, including scheduling and orchestration of compute operations.
- Model Zoo: Provides access to pre-trained models that can be applied to datasets.
- Annotation: Request, manage, and import annotations from within the FiftyOne App using plugins.