Facial-Emotion-Recognition-System

Facial-Emotion-Recognition-System

Trojan3877

The **Facial Emotion Recognition System** is a robust computer vision pipeline that detects and classifies human emotions (e.g., happy, sad, angry, surprised) from facial images and video streams. It leverages transfer learning with state-of-the-art convolutional neural networks (e.g., ResNet, EfficientNet) in PyTorch, fine-tuned on the FER2013 ben

23 Stars
0 Forks
23 Watchers
Python Language
mit License
99 SrcLog Score
Cost to Build
$857.6K
Market Value
$1.46M

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3 data points  ·  2026-04-10 → 2026-04-24
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What is the Trojan3877/Facial-Emotion-Recognition-System GitHub project? Description: "The **Facial Emotion Recognition System** is a robust computer vision pipeline that detects and classifies human emotions (e.g., happy, sad, angry, surprised) from facial images and video streams. It leverages transfer learning with state-of-the-art convolutional neural networks (e.g., ResNet, EfficientNet) in PyTorch, fine-tuned on the FER2013 ben". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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