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  <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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- Models are trained to process 320x320 pixel patches of Sentinel-2 RGB images with 10m resolution and detect marine vessels which are upsampled into 640x640 pixels during training and inference. The models will detect targets from outside of the water areas, but those detections can be eliminated by using external datasets.
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  ### Out-of-Scope Use
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  <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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- Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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  ## How to Get Started with the Model
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  ## Model Card Contact
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  <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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+ Models are trained to process 320x320 pixel patches of Sentinel-2 RGB images with 10m resolution and detect marine vessels which are upsampled into 640x640 pixels during training and inference. The models will detect targets from outside of the water areas, but those detections can be eliminated by using external datasets such as land masks.
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  ### Out-of-Scope Use
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  <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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+ The models are most accurate on more closed waters instead of open sea. Especially during windy conditions the models incorrectly detect a large number of wakes and glint as marine vessels.
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  ## How to Get Started with the Model
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  ## Model Card Contact
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+ Janne Mäyrä