Developed a Blender-based pipeline to generate synthetic data with error-free annotations. The avatars support any action from the Mixamo website. It is low-cost to handle annotations when labeling long action sequences.

Generated high-quality labeled samples, including challenging cases such as blurred action images, ensuring dataset robustness.