{'fraction_non_alphanumeric': 0.025048169556840076, 'fraction_numerical': 0.0, 'mean_word_length': 5.040697674418604, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Performance assessment of mine detection systems

Assessing the performance of mine-detection systems usually means calculating probability of detection (Pd and a false-alarm rate (FAR). relying on these measures of performance is a consequence of the way in which mine detection systems are tested. Most advanced technology demonstrations of mine detection systems require the participating contractors to provide the testing agency with a set of alarms, or declarations, that correspond to locations on the ground where a mine is suspected to be buried. Superimposing these alarms with the ground truth, or baseline, allows one to compute the Pd and the FAR, but does not give insight into issues such as signal-to-noise ratios or signal-to-clutter ratios. With knowledge of S/N and S/C ratios, expected performance can be compared with demonstrated performance to determine how sensor sensitivity affects overall performance. In addition, S/C ratios provide a means to judge relative performance, but Pd and FAR alone can be ambiguous.