Emotion Detector CNN
Spot emotions like a pro with next-level CNNs and TIMM model magic.
Completed
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Description
This project uses Convolutional Neural Networks (CNNs) with pretrained TIMM models to classify emotions like a boss.
Boosted by dope augmentation tricks like random resizing, flipping, color jitter, CutMix, and MixUp for top-tier generalization.
Smart dataset splits for training and validation ensure the model’s performance is on point.
Features
TIMM Model Swagger
High-performance pretrained models for reliable emotion detection.
Augmentation All-Stars
CutMix, MixUp, and more spice up data for better results.
Training Smarts
Optimized splits for max accuracy and generalization.
Tech Stack
CNNConvolutional Neural Networks for image processing and recognition
PythonVersatile programming language for web development, data science, and automation
PyTorchDeep learning framework with dynamic computation graphs
timmPyTorch image models library with pre-trained models
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