Скачать или смотреть Real Time 7 Facial Emotion Detection using Deep Learning | OpenCV | CNN | Brain Fidelity | Pradeep

About Project:
This is one of my best Deep Learning Project where I am able to detect the 7 Different Facial Emotions of Humans (Happy, Sad, Angry, Disgust, Surprise, Neutral, Fear) which is quite difficult task, It took me so much time to trained the model with different parameters to get the best accurate results and Here in this Project I have trained the model with different Algorithms like Convolutional Neural Network (CNN), ResNet50 and InceptionV3 . Among which I choose the best trained model.

About Dataset:
The dataset comprises a diverse collection of 28,821 images
used for training, featuring seven distinct facial expressions:

Total Images = 28821
surprise == 3,205 images
fear == 4,103 images
anger == 3,993 images
neutral == 4,982 images
sadness == 4,938 images
disgust == 436 images
happiness == 7,164 images




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Regards
(Brain Fidelity)
Pradeep Rauniyar

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