Implement Face detection, and Age and Gender Classification using Keras.

Face Detection

Age and Gender Classification

Keras2 (Tensorflow backend)

OpenCV

Python 2.7

Darknet (for Training)

python download_model.py

Here is a run using pretrained model .

python agegender_demo.py

pip install keras

Download Darknet and put in the same folder.

https://github.com/pjreddie/darknet

Download fddb dataset (FDDB-folds and originalPics folder) and put in the dataset/fddb folder.

http://vis-www.cs.umass.edu/fddb/

Create dataset/fddb/FDDB-folds/annotations_darknet folder for darknet.

python annotation_fddb_darknet.py

Preview converted annotations.

python annotation_view.py fddb

Here is a training using YoloV2.

cd darknet

./darknet detector train data/face-one-class.data cfg/yolov2-tiny-train-one-class.cfg

Here is a test.

./darknet detector demo data/face-one-class.data cfg/yolov2-tiny-train-one-class.cfg backup-face/yolov2-tiny-train-one-class_32600.weights -c 0

http://www.abars.biz/keras/yolov2-tiny-one-class.cfg

http://www.abars.biz/keras/yolov2-tiny-train-one-class_32600.weights

Download YAD2K

https://github.com/allanzelener/YAD2K

This is a convert script.

python3 yad2k.py yolov2-tiny-train-one-class.cfg yolov2-tiny-train-one-class_32600.weights yolov2_tiny-face.h5

This is a converted model.

https://github.com/abars/YoloKerasFaceDetection/releases/download/1.10/yolov2_tiny-face.h5

Download AdienceBenchmarkOfUnfilteredFacesForGenderAndAgeClassification dataset and put in the dataset/adience folder.

https://www.openu.ac.il/home/hassner/Adience/data.html#agegender

Create dataset/agegender_adience/annotations for keras.

python annotation_agegender_adience_keras.py

Download IMDB-WIKI dataset (Download faces only 7gb) and put in the dataset/imdb_crop folder.

https://data.vision.ee.ethz.ch/cvl/rrothe/imdb-wiki/

Create dataset/agegender_imdb/annotations for keras.

python annotation_imdb_keras.py

Download UTKFace dataset and put in the dataset/imdb_crop folder.

https://susanqq.github.io/UTKFace/

Create dataset/agegender_utk/annotations for keras.

python annotation_utkface_keras.py

Download AppaReal dataset and put in the dataset/appa-real-release folder.

http://chalearnlap.cvc.uab.es/dataset/26/description/

Create dataset/agegender_appareal/annotations for keras.

python annotation_appareal_keras.py

Install keras-squeezenet

https://github.com/rcmalli/keras-squeezenet

Run classifier task using keras.

python agegender_train.py age101 squeezenet imdb

python agegender_train.py gender squeezenet imdb

Test classifier task using keras.

python agegender_predict.py age101 squeezenet imdb

python agegender_predict.py gender squeezenet imdb

Age101 (IMDB) (EPOCHS=100)

https://github.com/abars/YoloKerasFaceDetection/releases/download/1.10/agegender_age101_squeezenet_imdb.hdf5

Gender (IMDB) (EPOCHS=25)

https://github.com/abars/YoloKerasFaceDetection/releases/download/1.10/agegender_gender_squeezenet_imdb.hdf5

https://github.com/dannyblueliu/YOLO-Face-detection

https://github.com/oarriaga/face_classification

https://github.com/yu4u/age-gender-estimation