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Model Diagnostics

Root out all errors

Join the waitlist for the beta

Find and fix errors holding you back

Visualize model errors and take action to improve performance faster. Bid farewell to complex DIY solutions that combine Python notebooks, spreadsheets, and confusion matrices.

Visualize patterns and edge cases

Quickly identify edge cases in your data using model embeddings. Cluster visually similar data to better understand trends in model performance and data distribution.

See eye to eye with your data

Interact with your data visually and compare model predictions to ground truth. Get to know the nuances of your model's performance and add crucial context to metrics like confidence and IoU.

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Identify patterns in model behavior

Quickly identify edge cases in your data using model embeddings. Cluster visually similar data to better understand trends in model performance and data distribution.

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Don't waste time with data that won't lift performance

Identify the data and classes that most often lead to model errors and prioritize labeling data that will drive more dramatic performance improvements than a random sampling.

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