Curate First, Annotate Smarter: Build Efficient ML Workflows with FiftyOne
Blog post from Voxel51
FiftyOne, an open-source ML platform by Voxel51, addresses inefficiencies in data annotation workflows for visual AI by integrating strategic data selection, automation, and human expertise into a unified system that enhances model performance and reduces costs. Traditional approaches that prioritize labeling vast amounts of data often result in wasted budgets and persistent errors, as they miss rare scenarios crucial for robust models. FiftyOne's new capabilities include manual annotation for 2D and 3D labels directly within the platform, eliminating tool-switching delays, and leveraging techniques like zero-shot coreset selection to prioritize data samples that most improve model performance. By unifying data curation, annotation, and model evaluation, FiftyOne enables ML teams to systematically improve model accuracy while maintaining contextual integrity throughout the development process.