The viewer is disabled because this dataset repo requires arbitrary Python code execution. Please consider
removing the
loading script
and relying on
automated data support
(you can use
convert_to_parquet
from the datasets
library). If this is not possible, please
open a discussion
for direct help.
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 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
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
- Downloads last month
- 120