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Home > All Category Datasets > Computer Vision Datasets > Gesture Recognition Dataset – 2,238 People with Hand Gestures and Videos

Gesture Recognition Dataset – 2,238 People with Hand Gestures and Videos

gesture recognition dataset
hand gesture dataset
sign language gesture dataset
body gesture dataset
human gesture dataset
hand gesture images dataset
gesture video dataset

This dataset contains 2,238 people with annotated hand gestures and videos. The dataset includes Southeast Asians, Caucasians, blacks, and browns, mainly young and middle-aged adults. It collects a variety of indoor office scenes, covering meeting rooms, coffee shops, libraries, bedrooms, etc. Each person contributed 18 gesture images and 2 gesture videos. The gestures includes clenching a fist with one hand and heart-to-heart with one hand, and the video included gestures such as clapping.

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SpecificationsSpecifications
Data size
2,238 people, each person collects 2 videos and 18 images
Race distribution
686 Southeast Asians, 1,002 Caucasians, 401 black, 149 brown people
Gender distribution
1,150 males, 1,088 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 gestures data, different races, different age groups, different meeting scenes
Collection equipment
cellphone, using the cellphone to simulate the perspective of laptop camera in online conference scenes
Collection content
collecting the gestures data in online conference scenes
Data format
.mp4, .mov, .jpg
Accuracy rate
the accuracy exceeds 97% based on the accuracy of the actions; the accuracy of action naming is more than 97%
Sample Sample
  • Gesture Recognition Dataset – 2,238 People with Hand Gestures and Videos
  • Gesture Recognition Dataset – 2,238 People with Hand Gestures and Videos
  • Gesture Recognition Dataset – 2,238 People with Hand Gestures and Videos
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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.

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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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