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
I went back and updated the oily model as described in last week’s report, and I had found successes. The model had learned and performs well on the test dataset. The model achieved at best 87% test accuracy, which is satisfactory. Also, the validation was done with noise added, so the true accuracy might be slightly higher. As such, I moved on to the acne detection. At first, I tried a similar method, but didn’t find much success. I then decided to do more research, and found that both my dataset, and many existing methods do acne detection (generating bounding boxes for acne). So, I decided to start developing an acne detection model, and just the presence or absence of acne to classify any given face. That is in the works as I write this.
Is your progress on schedule or behind? If you are behind, what actions will be taken to catch up to the project schedule?
What deliverables do you hope to complete in the next week?
Progress is on schedule, I have 1 model done, likely the hardest, and another model that will be done soon. This leaves next week and fall break for training the last two models. Wrinkles will likely be tackled in a similar manor to acne as a detection problem.