Facial Emotion Dataset

This repository contains a dataset of facial images categorized by different emotions. The dataset is intended for use in emotion recognition and computer vision projects.

Dataset Structure

The dataset is organized into two main directories: train_dir and test_dir, each containing subdirectories for different emotions:

• train_dir/: Contains training images categorized by emotions.

  • angry/: Images depicting angry emotions.
  • disgust/: Images depicting disgust emotions.
  • fear/: Images depicting fear emotions.
  • happy/: Images depicting happy emotions.
  • neutral/: Images depicting neutral emotions.
  • sad/: Images depicting sad emotions.
  • surprise/: Images depicting surprised emotions.

• test_dir/: Contains testing images categorized similarly to train_dir.

  • angry/: Images depicting angry emotions.
  • disgust/: Images depicting disgust emotions.
  • fear/: Images depicting fear emotions.
  • happy/: Images depicting happy emotions.
  • neutral/: Images depicting neutral emotions.
  • sad/: Images depicting sad emotions.
  • surprise/: Images depicting surprised emotions.

Train-Test Split

The train_dir/ and test_dir/ data has been splitted in 80-20 ratio.

Usage

• I have used this dataset in My Project Facial Emotion Recognizer

Accessing the Dataset

Downloading the Dataset

Clone this repository to your local machine to obtain the dataset:

git clone https://github.com/dilkushsingh/Facial_Emotion_Dataset.git
cd Facial_Emotion_Dataset

Direct Importing into Notebook

You can directly import the dataset into Jupyter Notebook by following code snippet

pip3 install kaggle
!kaggle datasets download -d dilkushsingh/facial-emotion-dataset

Contact

For any questions or issues related to the dataset, feel free to contact:

• Email: work.dilkushsingh@gmail.com
• Linkedin: Dilkush Singh
• GitHub: Dilkush Singh
• Portfolio: Portfolio