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  1. www.kaggle.com › datasets › tapakah68Facial Emotion Recognition Dataset - Kaggle

    Images of people showing eight different emotions, face dataset.

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  3. www.kaggle.com › facial-emotion-recognitionFacial Emotion Recognition - Kaggle

    Explore and run machine learning code with Kaggle Notebooks | Using data from Facial Expression Recognition (FER)Challenge.

  4. www.kaggle.com › datasets › ananthu017Emotion Detection - Kaggle

    If the issue persists, it's likely a problem on our side. Unexpected token < in JSON at position 4. keyboard_arrow_up. content_copy. SyntaxError: Unexpected token < in JSON at position 4. Refresh. FER - 2013 dataset with 7 emotion types.

  5. github.com › Hikari006 › Face_RecognitionGitHub - Hikari006/Face_Recognition: Emotion Detection using ...

    Face Recognition using CNN and OpenCV with Kaggle Dataset Using a Kaggle dataset for face recognition can significantly streamline the data collection and preparation process. Here's a detailed guide on implementing face recognition using CNN and OpenCV, utilizing a Kaggle dataset.

  6. github.com › SHAIK-AFSANA › facialemotionrecognizerReal-time facial emotion recognition is a technology that ...

    • Overview
    • Workflow
    • Prerequisites
    • Usage

    Real-time facial emotion recognition is a technology that uses computer vision and deep learning to analyze a person's facial expressions in real-time and determine their emotional state.

    See full list on github.com

    1.It all starts with training a CNN model.

    2.The dataset used to train and test the model is DATASET.

    3.You can downlaod the dataset or directly use the dataset in KAGGLE if you want to perform any changes in real-time-facial-emotion-classification-cnn-using-keras.ipynb file.

    4.The trained model generated will be in .h5 format. Here the emotion detection model is model.h5 file.

    5.This model attained 72% training accuracy and 60% validation accuracy.

    6.The system employs the Haar Cascade Classifier, loaded from the haarcascade_frontalface_default.xml file, to detect faces in the video frames.

    See full list on github.com

    •Python

    •TensorFlow

    •Keras

    •OpenCV

    •Pandas

    •Numpy

    See full list on github.com

    1.You can start by cloning the project repository to your local system or by downloading the zip file and extracting it in your working folder.

    2.Ensure you have the pre-trained emotion detection model (model.h5) and the Haar Cascade Classifier XML file (haarcascade_frontalface_default.xml) placed in the project directory. These models are essential for the system to function.

    See full list on github.com

  7. github.com › mttdiazz › FacialExpressionRecognitionFacial Expressions Recognition - GitHub

    Train a neural network to recognize facial expressions using a dataset from Kaggle. Learn the basics of image classification and computer vision in this beginner-friendly project. Explore the code and dataset for facial expressions recognition. - mttdiazz/FacialExpressionRecognition

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  9. medium.com › @gauravthorat1998 › facial-emotionFacial Emotion Expressions. Image Classifier for Facial ...

    Mar 26, 2023 · The dataset, which can be found on Kaggle under the name Facial Emotion Expressions, consists of over 35000 images each of faces under categories of angry, sad, happy, neutral, disgust, fear...