2015 Looking At People ICCV Challenge - Track 1: Age Estimation
Track description
For this track nearly 5000 images were collectively labeled with the objective of performing automatic apparent age estimation from RGB face still images. This is the first dataset on age estimation containing annotations on apparent age. The Age Estimation challenge aims to investigate the performance of estimation methods on apparent age rather than real age.
A more detailed information is provided on the data section of the competition.
Provided Resources
- Scripts: With the data, the organizers provides a set of scripts to facilitate the access to the data and use the evaluation metrics. More information is provided on the data page.
- Contact: In order to clarify any doubt or to ask general assistance, you can use the forum in the Codalab competition. You can contact the organizers atgesturechallenge@googlegroups.com.