Cleanlab Testimonials

“At Gavagai, we rely on labeled data to train our models, both publicly available datasets and data we have annotated ourselves. We know that the quality of the data is paramount when it comes to creating machine learning models that can produce business value for our customers. Cleanlab Studio is a very effective solution to calm my nerves when it comes to label noise! The tool allows me to upload a dataset and obtain a ranked list of all the potential label issues in the data in just a few clicks. The label issues can then be assessed and fixed right away in the GUI. Cleanlab should be a go-to tool in every ML practitioners toolbox!”

"Amazon AWS Principal Solutions Architect Cher Simon & Chief Evangelist Jeff Barr publishtextbookthat features Cleanlab in hands on exercises. Manually inspecting and fixing potential label errors can be time-consuming. We can train a better model using Cleanlab to filter noisy data."