FiftyOne Computer Vision Model Evaluation Tips and Tricks – Feb 03, 2023

This week's FiftyOne tips and tricks blog delves into model evaluation. The open source machine learning toolset, FiftyOne, 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. Model evaluation methods in FiftyOne include regressions, classifications, detections, polygons, instance and semantic segmentations, on both image and video datasets. The Evaluation API supports common computer vision tasks like object detection and classification with default evaluation methods that implement some of the standard routines in the field.