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Bi3D Proximity Segmentation
Model
NVIDIA
NVIDIA
Bi3D Proximity Segmentation

Bi3D is a binary depth classification network that is used to classify the depth of objects at a given distance.

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
Intended Application(s) & Domain(s):Learning quantized/discretized relative object depths for robotics and autonomous machines.
Model Type:Bi3D 3D depth estimation.
Intended Users:Developers building and/or customizing robotics applications.
Output:Qualtized depth map planes with binary pixel labels.
Describe how the model works:Network performs binary depth classification from a stereo camera.
Technical Limitations:Bi3D was designed to be a fast depth predictor at the expense of accuracy. Hence it can only predict relative object depth and not actual depth.
Performance Metrics:Binary Cross-Entropy.
Potential Known Risks:N/A
Licensing:https://developer.download.nvidia.com/licenses/tao_toolkit_21-08_models_eula.pdf

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