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ReIdentificationNet
Model
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ReIdentificationNet

Re-Identification network to generate embeddings for identifying persons in different scenes.

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):Embeddings for identifying people
Model Type:Embedding Generator
Intended Users:The ReIdentificationNet model is intended for security personnel, retail analysts, and smart city operators who need to enhance safety, customer experience, and operational efficiency.
Output:Embedding
Describe how the model works:Generates embeddings for identifying persons in different scenes
Technical Limitations:Model needs to be transfer learned before deployment
Verified to have met prescribed NVIDIA standards:Yes
Performance Metrics:Accuracy
Potential Known Risks:Model may fail to identify persons in different scenes.
Licensing:https://www.nvidia.com/en-us/data-center/products/nvidia-ai-enterprise/eula/