Test and Evaluation of Machine Learning Models | Eric Nelson, Morse Corp | Clarifai

Machine Learning models have been incredibly impactful over the past decade; however, testing those models and comparing their performance has remained challenging and complex. In this video, MORSE will demonstrate novel methods for measuring the performance of computer vision object detection models, including running those models against still imagery and against moving videos. Learn about the pros and cons of various metrics, including traditional metrics like precision, recall, average precision, mean average precision, F1, and F-beta. See more about tracking metrics, handling multiple object classes, visualizing multi-dimensional metrics, and—the most important part—linking metrics to operational impact. Visit for more information.