search

Niketkumardheeryan / ML-CaPsule

ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.
MIT License
418 stars 356 forks source link

Adding Project : Facial Expression Recognition with PyTorch #697

Open revanth1718 opened 6 months ago

revanth1718 commented 6 months ago

✔️ Involved training neural networks to accurately classify facial expressions using annotated facial image datasets, models were constructed and trained with PyTorch's deep learning capabilities. ✔️ Project was employed by convolutional neural networks (CNNs). ✔️ The success of the project was gauged through the model's proficiency in accurately identifying expressions on unseen data, with potential applications ranging from emotion-aware interfaces to behavioral analysis in psychology and market research.

I am Participating in GSSOC'24.

github-actions[bot] commented 6 months ago

Thanks for creating the issue,Please read the Pinned issued first and Readme.md in each Pull Request you made. Keep learning...

aryanchauh commented 5 months ago

@Niketkumardheeryan hello sir I can write this code accurately. can u assign me this issue please

Niketkumardheeryan commented 5 months ago

@revanth1718 go for it. Ensure to follow Project guidelines.

ldneal commented 5 months ago

Hello SIr Can you assign me in this project to contribute it So i see the project issue .The data consists of 48x48 pixel grayscale images of faces. .The faces have been automatically registered so that the face is more or less centered and occupies about the same amount of space in each image. .The task is to categorize each face based on the emotion shown in the facial expression in to one of seven categories: 1.Angry 2.Disgust 3.Fear 4.Happy 5.Sad 6.Surprise, 7.Neutral