Apparent age V2 (CVPR '16) - Training Data

Evaluation Criteria

For the evaluation process, the output from your system should be an integer or a float from 0 to 100. This problem can be approached as a classification or regression problem, eitherway the results will be evaluated by fitting a normal distribution with the mean and standard deviation of the votes for each image:

Each prediction is evaluated using the following formula,

getting an error value between 0 (correct) and 1 (far from age). Not predicted images are evaluated with 1.

Submission format

In this track, the participants should submit a ZIP file containing only a text file namedPredictions.csv (do not add any folder in the ZIP). Each line should contain a single identifier and the predicted age, separated by a colon, for example:

Predictions.csv:
    ...
    image_2519.jpg,18
    image_1301.jpg,29
    image_4093.jpg,20
    ...