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
########## File path: docs/tutorials/java/ssd_inference.md ########## @@ -0,0 +1,182 @@ +# 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. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
