In this challenge, you need to collect apparent age labels for a given set of face images. ## Challenge Input 324 face images with the file name . You can download the dataset through `Data` section. Please note that the image size can vary. ## Expected Output You need to submit an abstract (maximum length of 200 words) describing your method and a CSV file that includes the final consolidated age labels. The CSV file should contain two columns (`image_id` and `age`) and be submitted through Kaggle. The file should only have a single entry for each image. You are allowed to make multiple submissions. ``` image_id,age 7105,40 ``` The abstract and the final CSV file should be submitted through the [workshop submission website](https://easychair.org/conferences/?conf=bcd21) by **20th October 2021**. You are also encouraged to document the process. We will invite successful teams to present during the workshop. ## Evaluation The final ranking will be determined based on two metrics. 1. MAE calculated using the real age and the submitted apparent age 2. MAE difference between groups (determined based on the demographics and other attributes of people appearing in the images). > Please note that the Kaggle leaderboard is only based on metric 1 and the final ranking will be different to the Kaggle rankings.