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Home > All Category Datasets > Computer Vision Datasets > 54,415 Videos – Micro-Expression Recognition Dataset with 57 Expression Types

54,415 Videos – Micro-Expression Recognition Dataset with 57 Expression Types

micro expression dataset
facial micro-expression recognition dataset
diverse ethnicity face dataset
subtle facial expressions dataset
nonverbal behavior recognition dataset
psychology micro-expression dataset

The 54,415 Videos – Micro-Expression Dataset provides 57 types of subtle facial expressions across diverse populations and environments. Including yellow race (Japan, Vietnam), black race (Nigeria, Kenya), white race (Germany, France), brown race (India, Pakistan); age includes under 18, 18-45, 46-60, and over 60; collection environment includes indoor scenes and outdoor scenes; it can be used in various scenes such as facial recognition, emotion recognition and nonverbal behavior analysis.

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SpecificationsSpecifications
Data size
57 types, 54,415 videos
Race distribution
Yellow race (Japan, Vietnam), Black race (Nigeria, Kenya), White race (Germany, France), Brown race (India, Pakistan)
Gender distribution
male , female
Age distribution
under 18 years old, 18~45 years old, 46~60 years old, over 60 years old
Collecting environment
including indoor and outdoor scenes
Collection diversity
57 micro-expressions, multiracial, multiple scenarios
Collection device
cellphone
Data format
the video data format is .mp4
Collection content
collecting multiple micro-expression video data of different subjects
Accuracy rate
according to the accuracy of the acquisition action, the accuracy exceeds 97%; the accuracy of label annotation is over 97%
Sample Sample
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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.

How does Nexdata ensure the quality and scalability of its Computer Vision datasets?

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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