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NVIDIA
NVIDIA
TAO Pretrained Instance Segmentation
Model
NVIDIA
NVIDIA
TAO Pretrained Instance Segmentation

Pretrained weights to facilitate transfer learning using TAO Toolkit.

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 objects (Commercial, General Purpose)
Model Type:Instance Segmentation
Intended Users:Developers, data scientists, engineers, and researchers building object detection pipelines in healthcare, retail, robotics, and smart cities applications.
Output:Bounding Box(es), Confidence Score(s), Segmentation Mask
Describe how the model works:Identifies instances of objects in an image at the pixel level.
Technical Limitations:Model needs to be transfer learned before deployment.
Verified to have met prescribed NVIDIA standards:Yes
Performance Metrics:Intersection Over Union (IoU)
Potential Known Risks:This model may fail to segment objects.
Licensing:http://creativecommons.org/licenses/by/4.0/