The success of automotive AI projects relies on solving the complexities of the data that fuels ML models. Voxel51 empowers AI builders to gain a deep understanding of their visual data and its impact on ML models. Build high-performing AI models faster and streamline development processes for safe, reliable deployments on the road.
Whether you are working on ADAS parking assistance, blind spot monitoring features, automated driving systems, or in-cabin driver monitoring, there are millions of visual data points in play. Wrangling this visual data to deliver the required performance is challenging.
The right data, coupled with an efficient visual AI development process, can make the difference between successfully deploying your AI models or being stuck in R&D.
Watch Voxel51’s resident expert discuss data and AI blindspots at the recent Auto.AI conference. You’ll learn the impact of data on model performance and how to overcome your ML team’s challenges.
Remove duplicates, minimize biases, address annotation issues, and identify dataset inadequacies to increase data and model accuracy. Evaluate models to identify and fix edge case performance.
Easily manage, explore, and visualize images, videos, lidar, radar, geolocation, and even synthetic data. Jumpstart new projects with public datasets such as BDD100K, KITTI, NuScenes, or your collected data.
Ensure compliance with industry regulations and standards for data management and model requirements with secure dataset tracking and versioning capabilities.
Collaborate on datasets and models with multiple team members. Share datasets, request review, or tag mistakes to improve the quality and efficiency of development.
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📣 The milestone 1.0 release of open source FiftyOne is here! Get the details