Improving Age Ascertainment in Low-Income Countries through Computer Vision and Machine Learning
Associate Name: Stephane Helleringer
Funding Source/Period of the Grant: HPC Pilot 6/1/16-5/31/17
Helleringer proposes to test whether an innovative automatic age estimation (AAE) method can improve data on age in less-industrialized countries. AAE obtains an age estimate from a photograph of an individual through facial recognition and machine learning. He will develop and test a preliminary AAE model on a small sample of photographs from 200 individuals aged 10-24 years old collected in Senegal. Results from this pilot will inform a future R01 application to NICHD.