Code accompanying the paper Deep Regression Forests for Age Estimation. For detailed algorithm and experiment results please see our CVPR 2018 paper.

1. Download the Morph dataset. The Morph dataset is not free availabel, but you can request for it from here.

2. Download pre-trained VGG model VGG_ILSVRC_16_layers.caffemodel .

3. Create a symbolic link to the Morph dataset with the name 'data/morph'

   ln -s 'the directory for Morph dataset' data/morph

   or change the testdir and traindir in run.py.

4. Create the train set list and test set list.

   python split.py

5. Start to train.

   python run.py

Please cite the following paper if it helps your research:

@inproceedings{shen2018DRFs,
  author = {Wei Shen and Yilu Guo and Yan Wang and Kai Zhao and Bo Wang and Alan Yuille},
  booktitle = {Proc. CVPR},
  title = {Deep Regression Forests for Age Estimation},
  year = {2018}
}

If you have any issues using the code please email us at [email protected], [email protected]