[GitHub] yzhliu commented on a change in pull request #13201: [MXNET-1187] Added Java SSD Inference Tutorial for website

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yzhliu commented on a change in pull request #13201: [MXNET-1187] Added Java SSD Inference Tutorial for website
URL: https://github.com/apache/incubator-mxnet/pull/13201#discussion_r234040238
 
 

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 File path: docs/tutorials/java/ssd_inference.md
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+# Multi Object Detection using pre-trained SSD Model via Java Inference APIs
+
+This tutorial shows how to use MXNet Java Inference APIs to run inference on a pre-trained Single Shot Detection (SSD) Model.
+
+The SSD model is trained on the Pascal VOC 2012 dataset. The network is a SSD model built on Resnet50 as base network to extract image features. The model is trained to detect the following entities (classes): ['aeroplane', 'bicycle', 'bird', 'boat', 'bottle', 'bus', 'car', 'cat', 'chair', 'cow', 'diningtable', 'dog', 'horse', 'motorbike', 'person', 'pottedplant', 'sheep', 'sofa', 'train', 'tvmonitor']. For more details about the model, you can refer to the [MXNet SSD example](https://github.com/apache/incubator-mxnet/tree/master/example/ssd).
+
+## Pre-Requisites
+
+To complete this tutorial, we need : 
+* [MXNet Java Setup on IntelliJ IDEA](/java/mxnet_java_on_intellij.html) 
 
 Review comment:
   I suggest to mark it optional.

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