A user-friendly introduction to the multi-modal BigEarthNet-MM dataset.
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Updated
Oct 27, 2024 - Jupyter Notebook
A user-friendly introduction to the multi-modal BigEarthNet-MM dataset.
A fast and easy-to-use Remote sensing Image format COnverter for High-throughput Deep-Learning (rico-hdl).
A package to generate and extend BigEarthNet GeoDataFrame's
Compression via Vector Quantization in PyTorch
ParaViT-Lab: entrenamiento distribuido de un ViT sobre BigEarthNet-S2 con PyTorch (DDP, model parallel, AMP), estimador de rendimiento y dashboard web. TFG - Universidad de La Laguna
PyTorch implementation of SimCLR, tailored to learn representations on the BigEarthNet dataset
A distributed deep learning project for large-scale remote sensing data analysis using the BigEarthNet v2.0 dataset.
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