Satellite Imagery Datasets Containing Ships Alternatives

This repository provides a comprehensive list of radar and optical satellite datasets curated for ship detection, classification, semantic segmentation, and instance segmentation tasks. These datasets are ideal for applications in computer vision, machine learning, remote sensing, and maritime analysis.
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Alternatives To jasonmanesis/Satellite-Imagery-Datasets-Containing-Ships
Project Name Stars Downloads Repos Using This Packages Using This Most Recent Commit Total Releases Latest Release Open Issues License Language
azavea/raster-vision 1,956 0 7 about 2 years ago 11 October 17, 2023 42 other Python
An open source library and framework for deep learning on satellite and aerial imagery.
jasonmanesis/Satellite-Imagery-Datasets-Containing-Ships 561 0 0 about 1 year ago 0 0 mit
This repository provides a comprehensive list of radar and optical satellite datasets curated for ship detection, classification, semantic segmentation, and instance segmentation tasks. These datasets are ideal for applications in computer vision, machine learning, remote sensing, and maritime analysis.
e-sensing/sits 415 0 0 over 2 years ago 11 January 28, 2022 19 gpl-2.0 R
Satellite image time series in R
ViTAE-Transformer/ViTAE-Transformer-Remote-Sensing 379 0 0 over 2 years ago 0 10 mit TeX
A comprehensive list of our research works related to remote sensing, including papers, codes, and citations. Note: The repo for [TGRS'22] "An Empirical Study of Remote Sensing Pretraining" has been moved to: https://github.com/ViTAE-Transformer/RSP
PaddlePaddle/PaddleRS 303 0 0 over 2 years ago 0 17 apache-2.0 Python
Awesome Remote Sensing Toolkit based on PaddlePaddle.
sshuair/torchsat 285 0 0 over 5 years ago 4 April 20, 2018 3 mit Python
🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.
gokriznastic/HybridSN 276 0 0 over 2 years ago 0 4 mit Jupyter Notebook
A keras based implementation of Hybrid-Spectral-Net as in IEEE GRSL paper "HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification".
deepVector/geospatial-machine-learning 196 0 0 almost 8 years ago 0 0 mit
A curated list of resources focused on Machine Learning in Geospatial Data Science.
biasvariancelabs/aitlas 157 0 0 almost 3 years ago 0 2 apache-2.0 Python
AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.
PaddleCV-SIG/PaddleRS 137 0 0 over 3 years ago 1 May 19, 2022 4 apache-2.0 Python
Awesome Remote Sensing Toolkit based on PaddlePaddle.
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