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deepTerra -- AI Land Classification Made Easy

Computer Vision and Pattern Recognition 2025-01-15 v1 Artificial Intelligence Machine Learning

Abstract

deepTerra is a comprehensive platform designed to facilitate the classification of land surface features using machine learning and satellite imagery. The platform includes modules for data collection, image augmentation, training, testing, and prediction, streamlining the entire workflow for image classification tasks. This paper presents a detailed overview of the capabilities of deepTerra, shows how it has been applied to various research areas, and discusses the future directions it might take.

Keywords

Cite

@article{arxiv.2501.07859,
  title  = {deepTerra -- AI Land Classification Made Easy},
  author = {Andrew Keith Wilkinson},
  journal= {arXiv preprint arXiv:2501.07859},
  year   = {2025}
}
R2 v1 2026-06-28T21:05:31.216Z