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Featured Case Study
Protex AI uses FiftyOne to intelligently balance computer vision datasets and improve model accuracy
About protex ai
Protex AI’s AI-powered technology enables businesses to gain greater visibility of unsafe behaviors in their facilities. The privacy-preserving platform plugs into existing CCTV infrastructure and uses its computer vision technologies to capture unsafe events autonomously in settings such as warehouses, manufacturing facilities, and ports.
“At Protex AI we develop a platform to monitor worker health and safety using existing CCTV infrastructure. Our core computer vision technologies are object detection, classification, and pose estimation. We use FiftyOne as a vital component in our pipeline to validate dataset annotations, intelligently subsample datasets to ensure balance, and also to visualize and debug model predictions to assess accuracy.”
Patrick Rowsome
Lead Computer Vision Engineer, Protex AI
Workflows & highlights
Validate annotations
Balance datasets
Improve models
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Join the community of developers and scientists who are already using FiftyOne to improve the quality of their data and build better models