In this workflow, we discover a failure mode of a model by comparing the result of a trained machine vision model against ground truth.  

We use a few examples of a model's failure mode and more similar raw data. Then we send the data to an external labeler partner for annotations.  

We use enriched metadata of a dataset to examine the statistics, quickly review the raw data and obtain similar samples by zooming in different data dimensions.  

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