FiftyOne is an open source machine learning toolset that helps data science teams improve the performance of their computer vision models. It enables users to curate high quality datasets, evaluate models, find mistakes, visualize embeddings, and get to production faster. This week's tips and tricks cover finding and removing duplicate images, classification mistakes, and detection mistakes in datasets using FiftyOne. The toolset helps users identify and correct these issues, improving the overall performance of their computer vision models.