This dataset contains the data used in the notebook "Detecting floating objects using Deep Learning and Sentinel-2 imagery", published in the ocean modelling section of The Environmental Data Science Book
Replication of paper entitled 'Skillful decadal prediction skill over the Southern Ocean based on SP...
Grape bunch and vine trunk dataset containing images and annotations for Deep Learning object detect...
Dataset of ocean simulation outputs and processed JSON-formed files, for the use of the web-based 3D...
This dataset contains the data used in the notebook "Detecting floating objects using Deep Learning ...
Notebook developed to demonstrate the use of deep neural networks for the detection of floating obje...
Notebook developed to demonstrate the use of deep neural networks for the detection of floating obje...
Notebook developed to demonstrate the use of deep neural networks for the detection of floating obje...
The dataset used in the study consists of imagery capturing ship wake patterns. It is a manually cur...
We provided a new dataset for deep learning of surface water features on Sentinel-2 satellite images...
This dataset is supporting the University of Southampton Doctoral Thesis "Detection and segment...
This dataset has been used in the publication "Drifter observations reveal intense vertical velocity...
Deep learning, also known as deep machine learning or deep structured learning based techniques, hav...
This database is the supplementary material of Tasseron et al., (2021): Advancing floating plastic d...
Bathymetric point cloud data and ship log data used for the article "Quantifying the physical impact...
The spatial and temporal coverage of spaceborne optical imaging systems are well suited for automate...
Replication of paper entitled 'Skillful decadal prediction skill over the Southern Ocean based on SP...
Grape bunch and vine trunk dataset containing images and annotations for Deep Learning object detect...
Dataset of ocean simulation outputs and processed JSON-formed files, for the use of the web-based 3D...
This dataset contains the data used in the notebook "Detecting floating objects using Deep Learning ...
Notebook developed to demonstrate the use of deep neural networks for the detection of floating obje...
Notebook developed to demonstrate the use of deep neural networks for the detection of floating obje...
Notebook developed to demonstrate the use of deep neural networks for the detection of floating obje...
The dataset used in the study consists of imagery capturing ship wake patterns. It is a manually cur...
We provided a new dataset for deep learning of surface water features on Sentinel-2 satellite images...
This dataset is supporting the University of Southampton Doctoral Thesis "Detection and segment...
This dataset has been used in the publication "Drifter observations reveal intense vertical velocity...
Deep learning, also known as deep machine learning or deep structured learning based techniques, hav...
This database is the supplementary material of Tasseron et al., (2021): Advancing floating plastic d...
Bathymetric point cloud data and ship log data used for the article "Quantifying the physical impact...
The spatial and temporal coverage of spaceborne optical imaging systems are well suited for automate...
Replication of paper entitled 'Skillful decadal prediction skill over the Southern Ocean based on SP...
Grape bunch and vine trunk dataset containing images and annotations for Deep Learning object detect...
Dataset of ocean simulation outputs and processed JSON-formed files, for the use of the web-based 3D...