ContainersNVIDIADeepSeek-R1NVIDIALlama-3.1-Nemotron-70B-InstructNVIDIAPyTorch
CollectionsNVIDIAOmniverse Kit (FB)NVIDIADeepStream SDKNVIDIAOmniverse Kit App Streaming
ModelsNVIDIAStyleGAN3 pretrained modelsNVIDIAPeopleNetNVIDIATrafficCamNet
ResourcesNVIDIARiva Skills Quick Start
Helm ChartsNVIDIAGPU OperatorNVIDIANVIDIA NIM Operator
NVIDIA
NVIDIA
TAO Pretrained Semantic Segmentation
Model
NVIDIA
NVIDIA
TAO Pretrained Semantic Segmentation

Pretrained weights to facilitate transfer learning using Transfer Learning 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):General-purpose image classification
Model Type:Image Classification
Intended Users:Developers, data scientists, engineers, and researchers building object detection pipelines in healthcare, retail, robotics, and smart cities applications.
Output:Category Label, Segmentation Mask
Describe how the model works:Classifies and masks objects in an image at the pixel level.
Technical Limitations:Model needs to be transferred 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 classify a object.
Licensing:http://creativecommons.org/licenses/by/4.0/