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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Robosat | 1,639 | 4 years ago | 45 | mit | Python | |||||
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds | ||||||||||
Ternausnetv2 | 500 | 4 years ago | 14 | bsd-3-clause | Jupyter Notebook | |||||
TernausNetV2: Fully Convolutional Network for Instance Segmentation | ||||||||||
Satellite Segmentation | 392 | 7 years ago | 47 | Python | ||||||
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. | ||||||||||
Geospatial Machine Learning | 196 | 6 years ago | mit | |||||||
A curated list of resources focused on Machine Learning in Geospatial Data Science. | ||||||||||
Keras Unet | 194 | 4 years ago | 7 | July 27, 2020 | 8 | mit | Python | |||
Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks | ||||||||||
Deep Unet For Satellite Image Segmentation | 155 | 5 years ago | 10 | Python | ||||||
Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet | ||||||||||
Kaggle_dstl_submission | 146 | 6 years ago | 3 | mit | Python | |||||
Code for a winning model (3 out of 419) in a Dstl Satellite Imagery Feature Detection challenge | ||||||||||
Senseearth2020 Changedetection | 124 | 3 years ago | mit | Python | ||||||
1st place solution to the Satellite Remote Sensing Image Change Detection Challenge hosted by SenseTime | ||||||||||
Dstl_unet | 107 | 7 years ago | 1 | mit | Jupyter Notebook | |||||
Dstl Satellite Imagery Feature Detection |