The Perception package provides tools for creating large-scale synthetic datasets within the Unity simulation environment. It is designed to support sim2real training workflows by generating annotated data for computer vision tasks including object detection, pose estimation, and segmentation. The toolkit employs domain randomization techniques to improve model generalization when trained data is deployed in real-world scenarios.