This time, I would like to write about the facial expression detection program using Yolov5. Please note that it is not possible to post the progress image of the learning data due to the dataset rules.
Build a model to detect two facial expressions, positive or negative. The model used was: 
Based on this data set, we created a positive or negative data set visually.
The result looks like this.
This time, I trained only with images of women, so I tested with 4 images for men and women. part1(epoch50) part2(epoch1000)
This time, there were various biases in the learning model, so the accuracy was not very good, but it seems that facial expression analysis using yolo can be done as an experience, so I would like to make my own model and try again.
 The Japanese Female Facial Expression (JAFFE) Dataset
Michael J. Lyons, Miyuki Kamachi, Jiro Gyoba. Coding Facial Expressions with Gabor Wavelets (IVC Special Issue) arXiv:2009.05938 (2020) https://arxiv.org/pdf/2009.05938.pdf