GitHub topics: efficientnetb2
ShaikhBorhanUddin/Facial-Emotion-Recognition
A deep learning project for classifying seven core emotions from facial expressions using transfer learning on high-resolution RGB images. Focused on model performance, efficiency, and real-world applicability.
Language: Jupyter Notebook - Size: 41.6 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0
jagadeshchilla/oral_cancer_detection
oral_cancer_detection
Language: Jupyter Notebook - Size: 203 MB - Last synced at: about 2 months ago - Pushed at: 7 months ago - Stars: 2 - Forks: 0
amrkld/Facial_Expression_Recognizer_Fine-Tuning
This project uses the VGG16 and EfficientNetB2 models to recognize facial emotions in the FER-2013 dataset, classifying expressions into seven emotions.
Language: Jupyter Notebook - Size: 29.9 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
JuliaGerasymenko/emotion-theme-recognition-app
Music emotions and themes classifier app could recognize 56 classes using three trained models (based on ResNet50, InceptionNetV2, EfficientNetB3), applying the transfer learning approach.
Language: Python - Size: 202 MB - Last synced at: 3 months ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
