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Home > All Category Datasets > Computer Vision Datasets > Facial Expression Recognition Dataset – 1,130 People, 7 Emotions, Online Conference Scenes

Facial Expression Recognition Dataset – 1,130 People, 7 Emotions, Online Conference Scenes

facial expression recognition dataset
emotion recognition dataset
facial expression dataset
face emotion dataset

This dataset contains facial expression recognition data from 1,130 people in online conference scenes. Participants include Asian, Caucasian, Black, and Brown individuals, mainly young and middle-aged adults. Data was collected across a variety of indoor office scenes, covering meeting rooms, coffee shops, libraries , bedroom, etc., Each participant performed seven key expressions: normal, happy, surprised, sad, angry, disgusted, and fearful. The dataset is suitable for tasks such as facial expression recognition, emotion recognition, human-computer interaction, and video conferencing AI applications.

Paid Datasets
This is a paid dataset licensed for commercial use. Ready-made datasets are available for immediate integration into AI projects.
SpecificationsSpecifications
Data size
1,130 people, each person collects 7 videos
Race distribution
141 Asians, 889 Caucasians, 66 blacks, 34 brown people
Gender distribution
529 males, 601 females
Age distribution
from teenagers to the elderly, mainly young and middle-aged
Collection environment
indoor office scenes, such as meeting rooms, coffee shops, libraries, bedrooms, etc.
Collection diversity
different facial expressions, different races, different age groups, different meeting scenes
Collection equipment
cellphone, using the cellphone to simulate the perspective of the laptop camera in online conference scenes
Collection content
collecting the expression data in online conference scenes
Data format
.mp4, .mov
Accuracy rate
the accuracy exceeds 97% based on the accuracy of the expressions; the accuracy of expression naming is more than 97%
Sample Sample
  • Facial Expression Recognition Dataset – 1,130 People, 7 Emotions, Online Conference Scenes
  • Facial Expression Recognition Dataset – 1,130 People, 7 Emotions, Online Conference Scenes
  • Facial Expression Recognition Dataset – 1,130 People, 7 Emotions, Online Conference Scenes
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What types of computer vision applications can Nexdata’s datasets support?

Nexdata’s computer vision datasets support a wide range of AI applications, including image classification, object detection, image segmentation, facial and human-related recognition, scene understanding, autonomous driving, and other visual perception tasks. Depending on the dataset, data may include images, videos, bounding boxes, polygons, keypoints, segmentation masks, text annotations, and other structured labels.

Can Nexdata customize Computer Vision datasets based on our specific requirements?

Yes. If our off-the-shelf Computer Vision datasets do not fully meet your requirements, Nexdata provides flexible custom data collection, annotation, and curation services. We can customize data based on your target objects, environments, scenarios, camera specifications, geographic locations, data volume, annotation formats, and quality standards to support specific model training and evaluation needs.

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Nexdata applies multi-stage quality control throughout data collection, annotation, validation, and delivery. Depending on project requirements, we can implement customized annotation guidelines, multi-level reviews, consistency checks, and quality sampling to ensure dataset accuracy and consistency. Our data collection and processing capabilities can also be scaled to support large-volume Computer Vision projects.

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