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set_id
int32
neutral
image
anger
image
contempt
image
disgust
image
fear
image
happy
image
sad
image
surprised
image
age
int8
gender
string
country
string
0
36
FEMALE
RU
1
37
FEMALE
RU
10
33
MALE
IN
11
15
FEMALE
RU
12
34
FEMALE
RU
13
43
FEMALE
RU
14
20
FEMALE
RU
15
18
FEMALE
RU
16
37
FEMALE
RU
17
24
FEMALE
RU
18
19
MALE
RU
2
36
FEMALE
RU
3
29
MALE
RU
4
43
FEMALE
RU
5
49
MALE
RU
6
38
FEMALE
RU
7
19
MALE
PH
8
29
FEMALE
RU
9
32
FEMALE
RU

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/data-market 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

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