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Environment

Learn more about the projects and tools developed by EarthPulse, at the intersection of Artificial Intelligence and Earth Observation.

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AI Environment

Tools developed by EarthPulse to help you leverage Artificial Intelligence for Earth Observation applications.

AI Environment

SCANEO

SCANEO (Satellite Collaborative ANnotation tool for EO) is a labelling tool specifically designed to annotate EO data. Furhtermore, SCANEO leverages Active Learning to provide assisted labelling, decreasing annotation costs and time.

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Earth
AI Environment
Earth

PytorchEO

A training library built on top of Pytorch and Pytorch Lightning to facilitate the development of Earth Observation models.

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European Space Agency

You can find here a list of projects Earthpulse is involved in with the European Space Agency:

European Space Agency

EOTDL

The Earth Observation Training Data Lab is a repository of training datasets and ML models for Earth Observation.

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Earth
European Space Agency
Earth

AI4EO Challenges

The AI4EO Challenges platform presents a great opportunity for Data Scientists, ML Engineers and Earth Observation experts to showcase their skills and contribute to the Earth Observation community by solving real-world problems while earning prizes.

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