ITW

The In-the-Wild (ITW) Dataset constitutes a human-centric, life-scale, diverse, open-world, multimodal repository of stochastic real-world scenarios designed to advance humanoid robotics and embodied intelligence (EI). It includes sparse-body motion capture sensors and egocentric RGB-D visual data. Departing from traditional laboratory-constrained acquisition, ITW captures ecologically valid human behaviors and interaction dynamics within unconstrained environments. By integrating high-variance environmental noise and long-tail edge cases into the training distribution, ITW facilitates the generalization of laboratory-optimized algorithms toward industrial deployment. When integrated with the HiPHI-OM dataset, it provides a comprehensive cross-domain corpus spanning diverse operational scenarios and sensory modalities.