sat-seg
Sat image segmentation
Develops semantic segmentation of satellite images using deep learning techniques
Deep learning for semantic segmentation of satellite imagery
10 stars
2 watching
10 forks
Language: Python
last commit: about 1 year ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
| Develops deep learning models to classify and annotate pixel-level details in satellite images | 21 |
| Semantic segmentation using convolutional neural networks for aerial and satellite images | 260 |
| Discover and download satellite imagery from various APIs using a standardized interface | 189 |
| Provides pre-trained and customizable semantic segmentation model in MATLAB | 23 |
| Implementations of deep learning architectures for semantic segmentation of images in various datasets. | 6 |
| Automates satellite image extraction and storage from public constellations at scale. | 76 |
| A PyTorch-based toolbox for building and training semantic segmentation models | 408 |
| A tool for cell instance aware segmentation in densely packed 3D volumetric images | 101 |
| Automatically annotates satellite images with OpenStreetMap data | 461 |
| A PyTorch implementation of semantic segmentation models with support for multiprocessing training and various backbones. | 1,347 |
| Analyze satellite imagery to investigate environmental and humanitarian challenges | 50 |
| A tool for manually segmenting images from satellite data with AI assistance | 141 |
| An aerial imagery segmentation tool using deep learning techniques to identify buildings and roads from satellite images. | 27 |
| A deep learning framework for semantic segmentation on edge devices. | 542 |
| A tool for running deep learning algorithms for semantic segmentation with satellite imagery using encoder-decoder architecture | 78 |