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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.
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
About
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.