Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Techniques | 9,064 | 4 months ago | 2 | apache-2.0 | ||||||
Techniques for deep learning with satellite & aerial imagery | ||||||||||
Awesome Satellite Imagery Datasets | 3,381 | 3 years ago | mit | |||||||
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning | ||||||||||
Torchgeo | 2,067 | 4 | a year ago | 10 | November 10, 2023 | 123 | mit | Python | ||
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data | ||||||||||
Ternausnetv2 | 500 | 5 years ago | 14 | bsd-3-clause | Jupyter Notebook | |||||
TernausNetV2: Fully Convolutional Network for Instance Segmentation | ||||||||||
Satellite Imagery Datasets Containing Ships | 456 | 2 months ago | 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. | ||||||||||
Open Solution Mapping Challenge | 363 | 4 years ago | 53 | mit | Python | |||||
Open solution to the Mapping Challenge :earth_americas: | ||||||||||
Label Maker | 358 | 4 years ago | 18 | November 19, 2020 | 40 | mit | Python | |||
Data Preparation for Satellite Machine Learning | ||||||||||
Changeformer | 335 | a year ago | mit | Python | ||||||
[IGARSS'22]: A Transformer-Based Siamese Network for Change Detection | ||||||||||
Instancesegmentation_sentinel2 | 300 | 2 years ago | 1 | Jupyter Notebook | ||||||
🌱 Deep Learning for Instance Segmentation of Agricultural Fields - Master thesis | ||||||||||
Torchsat | 285 | 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. |