Ground Truth (test environment)

Ground truth in a test environment refers to the accurate and verified data used as a standard reference to evaluate the performance of a system or model. It represents the real-world information collected through direct measurements or observations, serving as the benchmark to assess how well the system's outputs match reality. For example, in image recognition, ground truth could be human-verified labels indicating what objects are present in images. This reliable data is essential for testing, refining, and validating models to ensure their predictions are accurate and trustworthy.