The level of certainty about the prediction or classification determined by a Computer Vision Model. It is expressed as a percentage indicating how confident the model is that its output (such as detecting an object or identifying an image) is correct. A higher confidence score means the model is more certain about the accuracy of its prediction, while a lower score suggests less certainty. Confidence scores help users gauge the reliability of the model's results.