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NVIDIA
NVIDIA
TAO Pretrained DetectNet V2
Model
NVIDIA
NVIDIA
TAO Pretrained DetectNet V2

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):Detecting objects (Commercial, General Purpose)
Model Type:Object Detection
Intended Users:Developers, data scientists, engineers, and researchers building object detection pipelines in agriculture autonomous vehicle, healthcare, retail, robotics, and smart cities applications.
Output:Bounding Box(es), Confidence Score(s)
Describe how the model works:Identifies objects in an image.
Technical Limitations:Model needs to be transferred learned before deployment.
Verified to have met prescribed NVIDIA standards:Yes
Performance Metrics:Accuracy
Potential Known Risks:This model may fail to classify a object.
Licensing:http://creativecommons.org/licenses/by/4.0/

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