[SAMPLE] Nexdata | Multi-race Human Body Data | 300,000 ID | Computer Vision Data| Image/Video ...

1. Specifications
Data size : 200,000 ID

Race distribution : Asians, Caucasians, black people

Gender distribution : gender balance

Age distribution : ranging from teenager to the elderly, the middle-aged and young people are the majorities

Collecting environment : including indoor and outdoor scenes

Data diversity : different shooting heights, different ages, different light conditions, different collecting environment, clothes in different seasons, multiple human poses

Device : cameras

Data format : the data format is .jpg/mp4, the annotation file format is .json, the camera parameter file format is .json, the point cloud file format is .pcd

Accuracy : based on the accuracy of the poses, the accuracy exceeds 97%;the accuracy of labels of gender, race, age, collecting environment and clothes are more than 97%

2. About Nexdata
Nexdata owns off-the-shelf 200,000 hours of speech recognition data, 800TB of Annotated Imagery Data, about 2 billion pieces of Natural Language Processing (NLP) Data. These ready-to-go machine learning (ML) data support instant delivery, quickly improve the accuracy of AI models. For more details, please visit us at https://www.nexdata.ai/computerVisionTraining?source=Datarade