{'fraction_non_alphanumeric': 0.017241379310344827, 'fraction_numerical': 0.0, 'mean_word_length': 5.075581395348837, '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}}
Draft : Evaluation Guidelines for Gender Classification and Age Estimation

In previous research on gender classification and age estimation did not use a standardised evaluation procedure. This makes comparison the different approaches difficult. Thus we propose here a benchmarking and evaluation protocol for gender classification as well as age estimation to set a common ground for future research in these two areas. The evaluations are designed such that there is one scenario under controlled labratory conditions and one under uncontrolled real life conditions. The datasets were selected with the criteria of being publicly available for research purposes. File lists for the folds corresponding to the individual benchmarking protocols will be provided over our website at http://face.cs.kit.edu/befit. We will provide two kinds of folds for each of the tasks and conditions: one set of folds using the whole dataset and one set of folds using a reduced dataset, which is approximately balanced in terms of age, gender and ethnicity.