abhisheks008 / DL-Simplified

Deep Learning Simplified is an Open-source repository, containing beginner to advance level deep learning projects for the contributors, who are willing to start their journey in Deep Learning. Devfolio URL, https://devfolio.co/projects/deep-learning-simplified-f013
https://quine.sh/repo/abhisheks008-DL-Simplified-499023976
MIT License
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[Project Addition]: Facial Expression Detection #631

Closed Karthik110505 closed 4 months ago

Karthik110505 commented 4 months ago

Deep Learning Simplified Repository (Proposing new issue)

:red_circle: Project Title : Facial Expression Detection
:red_circle: Aim : To Detect the Facial Expressions
:red_circle: Dataset :https://www.kaggle.com/datasets/fatihkgg/affectnet-yolo-format
:red_circle: 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.


πŸ“ Follow the Guidelines to Contribute in the Project :


:red_circle::yellow_circle: Points to Note :


:white_check_mark: To be Mentioned while taking the issue :


Happy Contributing πŸš€

All the best. Enjoy your open source journey ahead. 😎

github-actions[bot] commented 4 months ago

Thank you for creating this issue! We'll look into it as soon as possible. Your contributions are highly appreciated! 😊

Karthik110505 commented 4 months ago

@abhisheks008 Please assign me this issue

abhisheks008 commented 4 months ago

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

Karthik110505 commented 4 months ago

@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?