Semantic Segmentation

Test semantic segmentation models for robustness. Detect errors, drift, and imbalance issues.

Semantic Segmentation models are designed to assign a label to every pixel in an image, effectively enabling a pixel-level understanding. This is particularly useful in medical imaging, landscape analysis, and urban planning.

RagaAI ensures that these models can accurately differentiate and label the components of an image, asses labelling quality and detect drift