-
-
Notifications
You must be signed in to change notification settings - Fork 347
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
[Project Addition]: Facial Expression Detection #631
Comments
Thank you for creating this issue! We'll look into it as soon as possible. Your contributions are highly appreciated! 😊 |
@abhisheks008 Please assign me this issue |
Hi @Karthik110505 this type of project is already present here in this repo. Have a look, https://github.com/abhisheks008/DL-Simplified/tree/main/Facial%20Emotion%20Detection |
@abhisheks008 Yes,bro. After seeing the project only I made this issue. In that project , he/she only took the data , perfromed some model training and implemnted some evaluation methods. But in my project i want to build a detection model which can make bounding boxes and detect the expression, for the images. I also want to make this work for videos and while using webcam, which didn't done in the already present project. Now, it's your wish . Should I continue or look for some other issue? |
Deep Learning Simplified Repository (Proposing new issue)
🔴 Project Title : Facial Expression Detection
🔴 Aim : To Detect the Facial Expressions
🔴 Dataset :https://www.kaggle.com/datasets/fatihkgg/affectnet-yolo-format
🔴 Approach : Try to use 3-4 algorithms to implement the models and compare all the algorithms to find out the best fitted algorithm for the model by checking the accuracy scores. Also do not forget to do a exploratory data analysis before creating any model.
📍 Follow the Guidelines to Contribute in the Project :
requirements.txt
- This file will contain the required packages/libraries to run the project in other machines.Model
folder, theREADME.md
file must be filled up properly, with proper visualizations and conclusions.🔴🟡 Points to Note :
✅ To be Mentioned while taking the issue :
Happy Contributing 🚀
All the best. Enjoy your open source journey ahead. 😎
The text was updated successfully, but these errors were encountered: