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Electrical Substation extraction Challenge - IEEE-ICETCI 2021

Team Members: Aarsh Chaube, Ved Dubey, Naman Garg and Soumya Snigdha Kundu.

IOU scored achieved: 0.842381

Rank in competition: 3

Challenge:

IEEE-ICETCI 2021 is organizing a Virtual Competition in association with RRSC-Central, NRSC, ISRO, Nagpur on ‘Machine learning based feature extraction of Electrical Substations from Satellite data using Open-Source tools’, and will take place from 1 March to 30 July, 2021.

The task of this competition is to develop a Machine learning-based software using open source tools. Further extract Electrical Substations from high resolution satellite data, and submit a paper (PDF) describing the techniques employed in solving the problem.

Output

Substations

Methodology

For reference, we've documented all our approaches in an IEEE format paper

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Machine Learning based feature extraction of Electrical Substations from Satellite data using Open-Source tools. Achieved test IoU of 84% using our model for semantic segmentation and a third rank on the leaderboard.

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  • Jupyter Notebook 99.9%
  • Python 0.1%