How to use feature Gst-nvinfer plugin features

Accelerated Computing Intelligent Video Analytics DeepStream SDK
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Please provide complete information as applicable to your setup.

• Hardware Platform (Jetson / GPU) GPU - RTX 2060
• DeepStream Version 5.0
• JetPack Version (valid for Jetson only)
• TensorRT Version 7.0.0
• NVIDIA GPU Driver Version (valid for GPU only) 460
• Issue Type( questions, new requirements, bugs) Questions
• Requirement details( This is for new requirement. Including the module name-for which plugin or for which sample application, the function description)

Hello,
I want to infer and use an SSD model in Deepstream.
In Gst-nvinfer plugin features (Gst-nvinfer — DeepStream 6.1.1 Release documentation), I came across an entry Support for single shot detector (SSD) DS 3.0
What does it mean?
Is there a document or a sample source code in C++ provided that I can refer to the same.
I am using Deepstream 5.0

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SSD is a kind of model( 13.7. Single Shot Multibox Detection (SSD) — Dive into Deep Learning 0.16.1 documentation (d2l.ai)). gst-nvinfer can support such model.
Nvidia TLT also provide pre-trained SSD model. Overview — Transfer Learning Toolkit 2.0 documentation (nvidia.com)

There is sample gst-nvinfer configuration file for TLT pretrained SSD model. /opt/nvidia/deepstream/deepstream-5.0/samples/configs/tlt_pretrained_models/config_infer_primary_ssd.txt

For more things about SSD, please refer to TLT document. Deploying to Deepstream — Transfer Learning Toolkit 2.0 documentation (nvidia.com)