A synthetic video dataset for fitness featuring a variety of challenging light scenarios
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The Fitness Low-light Dataset focuses on various challenging lighting scenarios within home fitness and physical therapy (PT) environments. The dataset contains 3 different exercises being performed by diverse avatars in settings with low light and correspondingly low signal to noise ratio (SNR). The dataset introduces several output metrics that report brightness, contrast, and SNR associated with each frame.
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