Abstract: The present disclosure describes generating synthetic training data for a machine learning model to detect one or more movements. The training data comprises a virtual actor (e.g., a 3D model of a skeleton, a 3D model of human, or a wireframe) posed in a plurality of positions and one or more virtual cameras may be used to capture each of the plurality of positions. The images of each of the plurality of positions may be used as synthetic training data for a machine learning model. The machine learning model may be trained to recognize a repetitive motion being performed by a non-virtual actor (e.g., a human) and count repetitions and provide feedback with respect to form.