Meetup Recap: How to Build High-Quality Machine Learning Datasets and Computer Vision Models

Brian Moore, Co-Founder and CTO of Voxel51, presented at the Virtual MLOps and Kubeflow Meetup to discuss the significance of data-centric machine learning in developing high-quality machine learning datasets and computer vision models. He introduced Voxel51's open-source tool, FiftyOne, which enhances model performance by improving data quality, and demonstrated its capabilities through a live demo, showcasing how it integrates with data annotation and model training processes. FiftyOne allows users to load and visualize datasets, filter data, and interactively work with data in various programming environments, such as Python and Jupyter notebooks. Moore also highlighted FiftyOne Teams, a SaaS version designed for organizational use, offering centralized database capabilities and web portal access, making it suitable for non-technical workflows. The presentation emphasized the role of quality data in overcoming the challenges of deploying computer vision models in production and the benefits of using FiftyOne to achieve better model accuracy by addressing data quality issues.