Feb 10 2023 Computer Vision Tips and Tricks using open source FiftyOne

Welcome to our weekly FiftyOne tips and tricks blog where we recap interesting questions and answers that have recently popped up on Slack, GitHub, Stack Overflow, and Reddit. FiftyOne is an open source machine learning toolset that enables data science teams to improve the performance of their computer vision models by helping them curate high quality datasets, evaluate models, find mistakes, visualize embeddings, and get to production faster. Ok, let's dive into this week's tips and tricks! "Is there a way to just get bounding boxes around the possibly missing and possibly spurious objects in my dataset?" Here, George is asking about how to isolate potential mistakes in ground truth labels on a dataset.