The project “Autonomous Image Classification” is a training project involving the Software Technology PDEng Program of TU/e and European Space Agency(ESA). The project’s goal is to classify images of upon ESA’s request.
Within the project I played the role as Engineer/ Configuration Manager in the team.
I was majorly involved in the research stage. I analyzed the images provided by ESA pixel by pixel and reported analysis to the charateristic of these images. In addition, I also suggested various methods to utilize these features.
Understanding the data is a key part in the project; only if we have a proper learning of the data can we deliver a suitable technique. Taking this in consideration, the team decided to contribute to Exploratory Data Analysis(EDA) first. I analyzed the images based on their grayscale values and class labels.
As the configuration manager, I contributed to setting up the configuration management plan. It was completed in the early stage of the project, and shall be followed by all members. I also modified several standards upon request and actual needs.
To allow for auto logging the results, the architect team introduced the Jenkins service. I participated in the testing phase of the service, and gave an introduction of how to utilize the service to the whole team.
a) Fulfilled responsibility by completing all user stories assigned
b) Setting up easy-understanding slides for each update session
c) Assistance in smart patching task: analysis of grayscale for unlabeled areas
Janice Conquet, Niki Saleki, Dan Chirascu, Lkham Nyambuu, Hasan Kaplan, Christian Degott, Sedihgeh Arasteh, Abolfazl Saravani, Akash Arora, Respa Putra, Lamisha Rawshan, Ankith Bale, Shubham Rawal, Nastaran Bajalan, William Jawad, Mohammad Ibrahim