Evaluate Model Performance | LandingLens on Snowflake

This article applies to these versions of LandingLens:

In this tutorial video, discover four ways of evaluating the performance of a Classification computer vision model in :

1. Model metrics such as F1, Precision and Recall
2. Confusion matrix, confidence scores and visual inspection of misclassifications
3. Heatmap overlays on image pixels
4. Evaluations sets and side-by-side comparisons