Accuracy (%): 98.60
Papers with Code · CC BY-SA 4.0
Facial Attribute Classification
Facial attribute classification is the task of classifying various attributes of a facial image - e.g. whether someone has a beard, is wearing a hat, and so on.
<span style="color:grey; opacity: 0.6">( Image credit: Multi-task Learning of Cascaded CNN for Facial Attribute Classification )</span>
논문
Error Rate: 13.69
gender-top1: 97.5age-top1: 62.28
Bias-Conflicting Accuracy: 58.87
Error Rate: 16.15
Bias-Conflicting Accuracy: 62.8
race-top1: 93.7gender-top1: 94.2age-top1: 59.7
Error Rate: 13.85
Error Rate: 12.87
Error Rate: 12.49
Error Rate: 13.47
Accuracy: 93.9AUC: 0.9561
gender-top1: 95.73age-top1: 61.07
Error Rate: 18.97
Bias-Conflicting Accuracy: 60.35