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CV Studio

Using Galileo CV Studio you can improve your Computer Vision models by improving the quality of your training data.
During Training and Pre-Training, Galileo for CV helps you to identify and fix data and label errors quickly. Through Insights such as Advanced Error Detection, Mislabeled Samples, Class Overlap, Data Error Potential and others, you can see what's wrong with your data in matter of seconds, instead of hours.
Once errors are identified, Galileo allows you to take action in-tool or helps you take these erroneous samples to your labeling tool or python environments. Fixing erroneous training data consistently leads to significant improvements in your model quality in production.
A screenshot of a Galileo console showing a Image Classification run
To get started, select your CV task:
Production Monitoring is not yet supported for Galileo for CV.