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An end-to-end density-map regression U-Net pipeline to detect and count individual trees and orchards from high-resolution satellite imagery.
An application for automated landslide detection from multi-source satellite imagery using 13+ deep learning models.
A reproducible PyTorch pipeline trained on the SpaceNet Rio de Janeiro dataset for extracting building footprints from high-resolution satellite imagery.
Published in arXiv preprint arXiv:2507.01123v2, 2025
Published in EarthArXiv preprint, 2025
Published:
Delivered a talk at Bennett University’s Google Summer of Code (GSoC) Info Session, sharing practical insights on open-source contributions, choosing the right organizations, and writing proposals. The session covered the GSoC selection process, getting started with open-source, and included a live Q&A.