Ship Type Classification

#artificialintelligence 

In this blog, we will show our approach to classifying images of ship using supervised models. We use a dataset obtained from Kaggle in order to perform our analyses. We discuss various data preprocesses we went through in order to reduce the dimensionality of the data, and to feed our models the best inputs possible. Ship or vessel detection has a wide range of applications, in the areas of maritime safety, fisheries management, marine pollution, defence and maritime security, protection from piracy, illegal migration, etc. Keeping this in mind, a Governmental Maritime and Coastguard Agency is planning to deploy a computer vision based automated system to identify ship type only from the images taken by the survey boats. You have been hired as a consultant to build an efficient model for this project.

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