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EOTDL
The European Space Agency’s (ESA) Earth Observation Training Data Lab (EOTDL) is a repository of training datasets and Machine Learning models for Earth Observation, available in open source. Earthpulse Labs regularly contributes open-source AI Earth Observation applications, algorithms, tools, and solutions.
Want to get hands-on with our applications through the EOTDL?
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AI4EO Challenges
The European Space Agency’s (ESA) 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.
Interested in taking part in our next AI4EO Challenge? Check out what’s coming up.
AI4EO Innovation
AI4EO resources from Earthpulse Labs.
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SCANEO
SCANEO (Satellite Collaborative Annotation tool for EO), developed by Earthpulse Labs, is an open-source annotation tool for EO data that leverages Active Learning to provide assisted labelling, lowering annotation costs and saving time.
PytorchEO
PytorchEO, developed by Earthpulse Labs, is a training library available via Pytorch and Pytorch Lightning. PytorchEO facilitates the development of Deep Learning algorithms for Earth Observation by making satellite insights easily applicable to real-world use cases and research.