Pin out objects manually and collaboratively.

Export training datasets for training deep learning algorithms.

Detect objects running a Target Detection algorithm over an area of interest.

Validate annotations made by other users.


Traditional empirical and analytical Earth Observation (EO) algorithms are getting to a fundamental change, where learning algorithms without any prior background start showing better perfomance.

Deep Learning is a promising technology and computational resources are available to run such models. However, big annotated datasets are required to get good accuracy from this algorithms.

The POINTOUT project is aimed at:

Developing a platform to build and share collaborative training datasets for combined EO/ML communities

Implementing generic DL algorithms to detect objects in EO scenes for expert and/or non-expert users online

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