FiftyOne Sample Fields Tips and Tricks – Aug 11, 2023

This week's FiftyOne tips and tricks blog focuses on managing fields in datasets. Fields can include metadata, scalar fields, labels, or tags within a single sample. Users can add predictions to their samples, allowing for visualization of predictions next to ground truths and evaluation of data scores such as accuracy or mAP (mean average precision). Additionally, strings or scalars can be added to samples to keep track of data origins, contributors, or purposes. Another useful feature is mapping original labels to super categories by cloning the sample field and remapping category names to supercategories in the new field. For more information on fields, samples, and other FiftyOne features, refer to the User Guide.