---
language:
- en
license: cc-by-nc-nd-4.0
task_categories:
- image-classification
- image-to-image
tags:
- code
dataset_info:
  features:
  - name: set_id
    dtype: int32
  - name: neutral
    dtype: image
  - name: anger
    dtype: image
  - name: contempt
    dtype: image
  - name: disgust
    dtype: image
  - name: fear
    dtype: image
  - name: happy
    dtype: image
  - name: sad
    dtype: image
  - name: surprised
    dtype: image
  - name: age
    dtype: int8
  - name: gender
    dtype: string
  - name: country
    dtype: string
  splits:
  - name: train
    num_bytes: 22981
    num_examples: 19
  download_size: 453786356
  dataset_size: 22981
---
# Facial Emotion Recognition Dataset

The dataset consists of images capturing people displaying **7 distinct emotions** (*anger, contempt, disgust, fear, happiness, sadness and surprise*). Each image in the dataset represents one of these specific emotions, enabling researchers and machine learning practitioners to study and develop models for emotion recognition and analysis.

The images encompass a diverse range of individuals, including different *genders, ethnicities, and age groups*. The dataset aims to provide a comprehensive representation of human emotions, allowing for a wide range of use cases.

### The dataset's possible applications:
- automatic emotion detection
- mental health analysis
- artificial intelligence (AI) and computer vision
- entertainment industries
- advertising and market research
- security and surveillance

![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F618942%2Fe72fc2820f1452bcdc99b4bc69e4c7b0%2FMacBook%20Air%20-%201.png?generation=1689578335866939&alt=media)

# Get the Dataset

### This is just an example of the data

Contact us via **[sales@trainingdata.pro](mailto:sales@trainingdata.pro)** or leave a request on **[https://trainingdata.pro/data-market](https://trainingdata.pro/data-market?utm_source=huggingface)** to discuss your requirements, learn about the price and buy the dataset 

# Content

- **images**: includes folders corresponding to people and containing images with 8 different impersonated emotions, each file is named according to the expressed emotion
- **.csv** file: contains information about people in the dataset

### Emotions in the dataset:
- anger
- contempt
- disgust
- fear
- happy
- sad
- surprised


### File with the extension .csv

includes the following information for each set of media files:

- **set_id**: id of the set of images,
- **gender**: gender of the person, 
- **age**: age of the person,
- **country**: country of the person

# Images for facial emotion recognition might be collected in accordance with your requirements.

## **[TrainingData](https://trainingdata.pro/data-market?utm_source=huggingface)** provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets**

TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets**