# Semantic Segmentation 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 --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.raga.ai/ragaai-prism/test-inventory/semantic-segmentation.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.