This is the source code that we developed for the collaborative project between Microsoft and Nestle Skin Health, where we developed deep learning models to assess the acne severity level based on selfie images.
May I ask how you labeled the data while training regression model? Just labeled every image with a score between 0 - 5, right? And then graded them using the score like grade 1.8 to level 2?
We labeled each image with integer score 0 - 5. During scoring process, the score of a image is not grounded back to integer. Score 1.8 just means that it is between level 1 and 2, a little bit more toward 2.
May I ask how you labeled the data while training regression model? Just labeled every image with a score between 0 - 5, right? And then graded them using the score like grade 1.8 to level 2?