Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Raster Vision | 1,956 | 7 | 3 months ago | 11 | October 17, 2023 | 42 | other | Python | ||
An open source library and framework for deep learning on satellite and aerial imagery. | ||||||||||
Vitae Transformer Remote Sensing | 379 | 5 months ago | 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 | ||||||||||
Satellite Imagery Datasets Containing Ships | 336 | 21 days ago | mit | |||||||
A list of radar and optical satellite datasets for ship detection, classification, semantic segmentation and instance segmentation tasks. | ||||||||||
Remote Sensing Rvsa | 331 | 4 months ago | 15 | mit | Python | |||||
The official repo for [TGRS'22] "Advancing Plain Vision Transformer Towards Remote Sensing Foundation Model" | ||||||||||
Paddlers | 303 | 5 months ago | 17 | apache-2.0 | Python | |||||
Awesome Remote Sensing Toolkit based on PaddlePaddle. | ||||||||||
Torchsat | 285 | 4 years ago | 4 | April 20, 2018 | 3 | mit | Python | |||
🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch. | ||||||||||
Loveda | 282 | 3 months ago | 32 | Python | ||||||
[NeurIPS 2021] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation | ||||||||||
Eye In The Sky | 248 | 2 years ago | 6 | apache-2.0 | Python | |||||
Satellite Image Classification using semantic segmentation methods in deep learning | ||||||||||
Geospatial Machine Learning | 196 | 6 years ago | mit | |||||||
A curated list of resources focused on Machine Learning in Geospatial Data Science. | ||||||||||
Samrs | 167 | 4 months ago | 8 | Python | ||||||
The official repo for [NeurIPS'23] "SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model" |