Pixel-level classification model for Sentinel-2 images based on harmonized images (bands 1,2,3,4 - labels 1)
Pixel-level classification model, using the pixel-level classification bootstrapping service of AI4Copernicus project
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Pixel-level classification model, using the pixel-level classification bootstrapping service of AI4Copernicus project
The use of GPT3.5 to annotate frames (perspectives) in headlines on the anti-vaccine movement.
The Security Bootstrapping services and resources have been developed in order to support the AI4Copernicus project’s open calls by reduce the time and resources of the bidders in the data preparation and allowing them to focus on the development of innov...
The Security Bootstrapping services and resources have been developed in order to support the AI4Copernicus project’s open calls by reducing the time and resources of the bidders in the data preparation and allowing them to focus on the development of inn...
The Security Bootstrapping services and resources have been developed in order to support the AI4Copernicus project’s open calls by reducing the time and resources of the bidders in the data preparation and allowing them to focus on the development of inn...
The Security Bootstrapping services and resources have been developed in order to support the AI4Copernicus project’s open calls by reducing the time and resources of the bidders in the data preparation and allowing them to focus on the development of inn...
The Security Bootstrapping services and resources have been developed in order to support the AI4Copernicus project’s open calls by reducing the time and resources of the bidders in the data preparation and allowing them to focus on the development of inn...
The model was designed for tree-crops semantic-segmentation and created using the AI4Copernicus service: “Deep network for pixel-level classification of S2 patches"
This library lists the outcomes of our research on video summarization and explainable AI-based summarization.
NN-SPM estimates ship fuel consumption taking into consideration weather and operational conditions.