InfiniteForm: A synthetic, minimal bias dataset for fitness applications
@article{Weitz2021InfiniteFormAS, title={InfiniteForm: A synthetic, minimal bias dataset for fitness applications}, author={Andrew J. Weitz and Lina Colucci and Sidney R Primas and Brinnae Bent}, journal={ArXiv}, year={2021}, volume={abs/2110.01330} }
The growing popularity of remote fitness has increased the demand for highly accurate computer vision models that track human poses. However, the best methods still fail in many real-world fitness scenarios, suggesting that there is a domain gap between current datasets and real-world fitness data. To enable the field to address fitness-specific vision problems, we created InfiniteForm – an opensource synthetic dataset of 60k images with diverse fitness poses (15 categories), both singleand…
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