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This document provides a humanoid robot dataset life cycle framework, specifies the general requirements throughout the dataset life cycle covering stages from dataset planning to dataset decommissioning, and specifies the across-cutting requirements across dataset life cycle including dataset quality, security and privacy requirements.
This document is applicable to organizations and individuals engaged in the creation and management of humanoid robot datasets, including training, validation, and test datasets used for the training, selection, and evaluation of machine learning models applied in humanoid robots.
This document is applicable to humanoid robots used in various application domains, including industrial, service, and medical domains, and regardless of their locomotion configuration (bipedal, wheeled or other forms of locomotion)
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This document provides a humanoid robot dataset life cycle framework, specifies the general requirements throughout the dataset life cycle covering stages from dataset planning to dataset decommissioning, and specifies the across-cutting requirements across dataset life cycle including dataset quality, security and privacy requirements.
This document is applicable to organizations and individuals engaged in the creation and management of humanoid robot datasets, including training, validation, and test datasets used for the training, selection, and evaluation of machine learning models applied in humanoid robots.
This document is applicable to humanoid robots used in various application domains, including industrial, service, and medical domains, and regardless of their locomotion configuration (bipedal, wheeled or other forms of locomotion)
