This week's FiftyOne tips and tricks blog covers adding and merging data. The text introduces FiftyOne, an open source machine learning toolset that helps improve the performance of computer vision models by enabling high-quality dataset curation, model evaluation, error detection, embedding visualization, and faster deployment to production. It then delves into various methods for adding and merging data in FiftyOne, including handling samples appearing multiple times, using add_dir() and merge_dir() methods for datasets stored in directories or archives, and adding model predictions with the merge_samples() method. The text also discusses exporting multiple labels with merge_labels() and joining the FiftyOne community on Slack, GitHub, Meetup, and other platforms.