Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

feat: Training FER #26

Open
MyeongheonChoi opened this issue Jan 31, 2023 · 0 comments
Open

feat: Training FER #26

MyeongheonChoi opened this issue Jan 31, 2023 · 0 comments
Assignees
Labels
exp any experiments for project feat add or develop feature

Comments

@MyeongheonChoi
Copy link
Contributor

Description

Details

  • aihub의 한국인 감정인식을 위한 복합 영상 데이터셋 사용
    • class 별 약 7500장 사용
    • 7가지 class 존재
  • mobilenet / efficientnet / rexnet / convnext 등 다양한 모델을 사용하여 학습했지만 모두 모델 성능이 정확도 60%에 그침
  • 7가지의 class를 positive (neutral, happy) / negative (그 외) 2가지 class로 나누어 accuracy를 측정해보니 90%로 상승

Reference / Image

@MyeongheonChoi MyeongheonChoi self-assigned this Jan 31, 2023
@MyeongheonChoi MyeongheonChoi added feat add or develop feature exp any experiments for project labels Jan 31, 2023
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
exp any experiments for project feat add or develop feature
Projects
None yet
Development

No branches or pull requests

1 participant