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NVIDIA
NVIDIA
PeopleSemSegnet
Model
NVIDIA
NVIDIA
PeopleSemSegnet

Semantic segmentation of persons in an 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
Intended Application(s) & Domain(s):Segmenting people in smart spaces, retail, industrial applications and for robotic navigation.
Model Type:Semantic Segmentation
Intended Users:Developers working in smart spaces, retail, and industrial applications with people.
Output:Segmentation Masks
Describe how the model works:Associates object class label for each image pixel.
Technical Limitations:Model should not be used in low-light, low contrast lighting conditions, with warped or motion-induced images, and with very small and very large objects. Model accuracy may vary with occlusion or truncation.
Verified to have met prescribed NVIDIA standards:Yes
Performance Metrics:Accuracy, Intersection over Union(IoU), Precision, Recall
Potential Known Risks:Inaccurate segmentation for robotic navigation could lead to collisions. Not recommended for life-critical use cases.
Licensing:https://www.nvidia.com/en-us/data-center/products/nvidia-ai-enterprise/eula/