Model
ESS is a DNN that estimates disparity for a stereo image pair and returns a continuous disparity map for the given left image.
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| Field | Response |
|---|---|
| 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. |