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Ivan Zvonkov

2 accepted papers

2023

OpenMapFlow: A Library for Rapid Map Creation with Machine Learning and Remote Sensing Data

AAAI 2023technical

The desired output for most real-world tasks using machine learning (ML) and remote sensing data is a set of dense predictions that form a predicted map for a geographic region. However, most prior work involving ML and remote sensing follows the traditional practice of reporting metrics on a set of…

2021

CropHarvest: A global dataset for crop-type classification

NeurIPS 2021poster

Remote sensing datasets pose a number of interesting challenges to machine learning researchers and practitioners, from domain shift (spatially, semantically and temporally) to highly imbalanced labels. In addition, the outputs of models trained on remote sensing datasets can contribute to positive…

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