What did you personally accomplish this week on the project? Give files or
photos that demonstrate your progress. Prove to the reader that you put sufficient
effort into the project over the course of the week (12+ hours)
A large amount of time this week was spent with drafting the Design Report. Besides that, a majority of the time remaining was spent training and developing the machine learning models for the skincare analysis. In particular the acne detection model took a large amount of the time. Developing the code for the YOLO used in the acne detection was a more difficult task than I initially thought, although the end results were quite satisfactory. I took guidance from the official YOLO repository, which helped make the process smoother
Here’s a mosaic of detections from the validation set
Since the model is a detection model, I don’t yet have a classification accuracy value yet, but visually the detections look good. Classification would be completed via checking for the presence of acne within a patch, and if it’s there (and with a strong enough confidence), then classifying the patch as having acne. This also gives the ability to have a richer value than just a binary output for acne classification.
The wrinkle detection model is in progress leading likely the sunburn model to be the last one completed.