Datasets:
Update README.md
Browse files
README.md
CHANGED
|
@@ -14,16 +14,16 @@ size_categories:
|
|
| 14 |
# Emotion recognition Dataset
|
| 15 |
Dataset comprises **199,955** images featuring **28,565** individuals displaying a variety of facial expressions. It is designed for research in **emotion recognition** and **facial expression analysis** across diverse races, genders, and ages.
|
| 16 |
|
| 17 |
-
By utilizing this dataset, researchers and developers can enhance their understanding of **facial recognition** technology and improve the accuracy of **emotion classification** systems. - **[Get the data](https://unidata.pro/datasets/
|
| 18 |
|
| 19 |
# Examples of data
|
| 20 |

|
| 21 |
|
| 22 |
This dataset includes images that capture different emotions, such as happiness, sadness, surprise, anger, disgust, and fear, allowing researchers to develop and evaluate recognition algorithms and detection methods.
|
| 23 |
-
# 💵 Buy the Dataset: This is a limited preview of the data. To access the full dataset, please contact us at [https://unidata.pro](https://unidata.pro/datasets/
|
| 24 |
|
| 25 |
|
| 26 |
## Metadata for the dataset
|
| 27 |
.png?generation=1740432926933026&alt=media)
|
| 28 |
Researchers can leverage this dataset to explore various learning methods and algorithms aimed at improving emotion detection and facial expression recognition.
|
| 29 |
-
# 🌐 [UniData](https://unidata.pro/datasets/
|
|
|
|
| 14 |
# Emotion recognition Dataset
|
| 15 |
Dataset comprises **199,955** images featuring **28,565** individuals displaying a variety of facial expressions. It is designed for research in **emotion recognition** and **facial expression analysis** across diverse races, genders, and ages.
|
| 16 |
|
| 17 |
+
By utilizing this dataset, researchers and developers can enhance their understanding of **facial recognition** technology and improve the accuracy of **emotion classification** systems. - **[Get the data](https://unidata.pro/datasets/ai-avatar/?utm_source=huggingfac&utm_medium=referral&utm_campaign=facial-expression-recognition-dataset)**
|
| 18 |
|
| 19 |
# Examples of data
|
| 20 |

|
| 21 |
|
| 22 |
This dataset includes images that capture different emotions, such as happiness, sadness, surprise, anger, disgust, and fear, allowing researchers to develop and evaluate recognition algorithms and detection methods.
|
| 23 |
+
# 💵 Buy the Dataset: This is a limited preview of the data. To access the full dataset, please contact us at [https://unidata.pro](https://unidata.pro/datasets/ai-avatar/?utm_source=huggingfac&utm_medium=referral&utm_campaign=facial-expression-recognition-dataset) to discuss your requirements and pricing options.
|
| 24 |
|
| 25 |
|
| 26 |
## Metadata for the dataset
|
| 27 |
.png?generation=1740432926933026&alt=media)
|
| 28 |
Researchers can leverage this dataset to explore various learning methods and algorithms aimed at improving emotion detection and facial expression recognition.
|
| 29 |
+
# 🌐 [UniData](https://unidata.pro/datasets/ai-avatar/?utm_source=huggingfac&utm_medium=referral&utm_campaign=facial-expression-recognition-dataset) provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects
|