MAE(7.436) and e-error(0.543) compared with References[2]'s best score MAE(3.252) and e-error(0.282)

[zzjing83]

Hi Yusuke. Thanks your repo firstly. It helps me a lot. My work following your repo is as below:
1, I cleaned the imdb dataset manually and converted them to imdb_zz.mat.
2, Training on imdb_zz.mat. --aug Ture, depth 16 width 8 as default. num_epochs 30.
3, the minimum val_loss is 3.49 and the weights stored as weights.25-3.49.hdf5.
4, Using weights.25-3.49.hdf5 to predict images. I test on LAP dataset as References[2] mentioned. However, my score is much worse than References[2] as discribled in title and it predicts young people(age<15) badly.

i am looking forward to your reply and any advice is welcomed.
Thank you.

[yu4u]

Thank you for testing this project on the LAP dataset!
Please note that this project is not intended to reproduce the results of the papers [1, 2] (of cause I'm interested in doing that).
Anyway, I think the most important thing to improve the accuracy is to fine-tune the model using the LAP training dataset. Did you try that?
Indeed it is not trivial because the LAP dataset is for a single task of age estimation while age and gender are simultaneously estimated on the model of this project.

[Riolite5]

Hello everyone, what is the difference between loss and val_loss ?