Age and Gender Classification using Convolutional Neural Networks

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Benchmark Model Rank Results
age-and-gender-classification-on-adienceLevi_Hassner CNN ( over-sample, caffe)#6Accuracy (5-fold): 86.8
age-and-gender-classification-on-adienceLevi_Hassner CNN (single crop, caffe)#7Accuracy (5-fold): 85.9
age-and-gender-classification-on-adienceLevi_Hassner CNN (single crop, tensorflow)#9Accuracy (5-fold): 82.52
age-and-gender-classification-on-adience-ageLevi_Hassner CNN (over-sample, caffe)#8Accuracy (5-fold): 50.7
age-and-gender-classification-on-adience-ageLevi_Hassner CNN (single crop, caffe)#9Accuracy (5-fold): 49.5
age-and-gender-classification-on-adience-ageLevi_Hassner CNN (single crop, tensorflow)#11Accuracy (5-fold): 44.14

Rank counts only results with a code link.