TrainingDataPro/facial-emotion-recognition-dataset

---
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


# Get the dataset

### This is just an example of the data

Leave a request on [**https://trainingdata.pro/datasets**](https://trainingdata.pro/datasets/facial-emotion-image-collection?utm_source=huggingface&utm_medium=cpc&utm_campaign=facial-emotion-recognition-dataset) 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/datasets/facial-emotion-image-collection?utm_source=huggingface&utm_medium=cpc&utm_campaign=facial-emotion-recognition-dataset) 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**

*keywords: biometric system, biometric dataset, face recognition database, face recognition dataset, face detection dataset, facial analysis, object detection dataset, deep learning datasets, computer vision datset, human images dataset, human faces dataset, machine learning, image-to-image, facial expression recognition, emotion detection, facial emotions, emotion recognition, er, human emotions, facial cues*

原始信息汇总

数据集概述

数据集名称

Facial Emotion Recognition Dataset

数据集内容

• 包含7种不同情绪的图像：anger, contempt, disgust, fear, happiness, sadness, surprise。
• 图像涵盖不同性别、种族和年龄段的个人。

数据集特征

• set_id: 整数类型，图像集的ID。
• neutral, anger, contempt, disgust, fear, happy, sad, surprised: 图像类型，代表不同情绪的图像。
• age: 字节整数类型，代表人物的年龄。
• gender, country: 字符串类型，分别代表人物的性别和国家。

数据集分割

• train: 包含19个样本，总大小为22981字节。

数据集应用

• 自动情绪检测
• 心理健康分析
• 人工智能和计算机视觉
• 娱乐行业
• 广告和市场研究
• 安全和监控

数据集文件

• images: 包含代表不同情绪的图像文件夹。
• .csv 文件: 包含人物的相关信息，如性别、年龄和国家。