# 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

Leave a request on [**https://trainingdata.pro/data-market**](https://trainingdata.pro/data-market?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/data-market?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**
task_categories:image-classification task_categories:image-to-image language:en license:cc-by-nc-nd-4.0 code region:us
{"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}}
TAGS
#task_categories-image-classification #task_categories-image-to-image #language-English #license-cc-by-nc-nd-4.0 #code #region-us 

# 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

![](URL

# Get the dataset

### This is just an example of the data

Leave a request on URL 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 provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: URL

TrainingData's GitHub: URL
# 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

![](URL # Get the dataset ### This is just an example of the data

Leave a request on URL 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 provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: URL

TrainingData's GitHub: URL
TAGS
#task_categories-image-classification #task_categories-image-to-image #language-English #license-cc-by-nc-nd-4.0 #code #region-us 
 # 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

![](URL # Get the dataset ### This is just an example of the data

Leave a request on URL 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 provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: URL

TrainingData's GitHub: URL
passage: TAGS
#task_categories-image-classification #task_categories-image-to-image #language-English #license-cc-by-nc-nd-4.0 #code #region-us 
# 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

![](URL# Get the dataset### This is just an example of the data

Leave a request on URL 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 provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: URL

TrainingData's GitHub: URL