NVIDIA
NVIDIA
ESS DNN Stereo Disparity
Model
NVIDIA
NVIDIA
ESS DNN Stereo Disparity

ESS is a DNN that estimates disparity for a stereo image pair and returns a continuous disparity map for the given left image.

This model is backed by NVIDIA's Plus Plus (++) Promise
to learn more about the quality of the datasets used to train this model.
FieldResponse
Participation considerations from adversely impacted groups (protected class) in model design and testing:Age, Gender, Race, Skin Color
Measures taken to mitigate against unwanted bias:Developed greater than 50% synthetically-generated data that includes persons of different gender, skin colors, and body shapes and sizes. Real data was intentionally collected in urban areas of differing median income levels during and outside of typical working hours to include diversity of ages, genders, races, and skin colors.

NVIDIA uses cookies to improve your experience on our web site. We and our third-party partners also use cookies and other tools to collect and record information you provide as well as information about your interactions with our websites for performance improvement, analytics, and to assist in marketing efforts. By clicking "Accept All", you consent to our use of cookies and other tools as described in our Cookie Policy. You can manage your cookie settings by clicking on "Manage Settings." By continuing to use this site or by clicking one of the buttons below, you agree to our Terms of Service (which contains important waivers). Please see our Privacy Policy for more information on our privacy practices.