We help you make sense of the data and how you can use it by giving each attribute a Confidence score. This score is a representation of how much we believe the classification to be true.
Our confidence at detecting the different attributes varies as some are more challenging than others.
In a technical sense, these represent a reasonably well-calibrated probability that the Y/N assignment is correct. For example, taking all the swimming pools with "99%" confidence listed, approximately 99% of them will actually be swimming pools. For a detailed example, see Example: Interpreting the Confidence Score
This is a powerful tool for deciding whether you want to include all possible examples. For example, including swimming pools above 70% confidence will capture empty or heavily shaded pools, but will include more false positives. In other cases, a more strict high threshold may be suitable. For example, ignoring buildings below 90% confidence will remove many of the small garden sheds in shadow, but also remove the vast majority of false-positive roofs.