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We’ve been hard at work creating more flexibility and control for your Computer Vision labeling needs. In this deep-dive webinar, Scale AI’s Field Engineering Manager, Shaun VanWeelden, will walk through the latest endpoints, parameters, and workflows to take your labeling pipelines to the next level.
At Scale AI, we label on the order of 10MM annotations per week. Our data is diverse both in image space (e.g. cameras, weather conditions, driving surface) and label space (e.g. object and attributes categories). In this talk, Felix Lau discusses how we leverage machine learning to scale a customer-specific, problem-specific, real-time data labeling solution.
An introduction to Scale Nucleus, a dataset management tool that helps machine learning teams improve their models by improving their data. In this article, we show how Nucleus can help debug model failures, trace them back to dataset issues, and make it easy to prioritize which data to label next.