PoseGen is tool for generating Synthesis Photorealistic Dataset Generator For 6D Object Pose Detection Training. The most common method for estimating a rigid body's 6D position in robotic manipulation is to use deep neural networks to either directly predict the pose from an imagery or to estimate the placements of 3D key points from which the pose may be calculated using algorithms. We developed a tool that can render realistic renders of objects with detailed per-pixel labels and relative ground truth geometry that can facilitating in robotic manipulation.