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: 11 months ago
Linked from 1 awesome list
mrgloom/awesome-semantic-segmentationRelated projects:
| Repository | Description | Stars |
|---|---|---|
 jliemansifry/semantic-segmentation | Develops deep learning models to classify and annotate pixel-level details in satellite images | 21 |
 mitmul/ssai-cnn | Semantic segmentation using convolutional neural networks for aerial and satellite images | 260 |
 sat-utils/sat-search | Discover and download satellite imagery from various APIs using a standardized interface | 189 |
 matlab-deep-learning/pretrained-deeplabv3plus | Provides pre-trained and customizable semantic segmentation model in MATLAB | 23 |
 zhujun98/semantic_segmentation | Implementations of deep learning architectures for semantic segmentation of images in various datasets. | 6 |
 frontierdevelopmentlab/sat-extractor | Automates satellite image extraction and storage from public constellations at scale. | 76 |
 media-smart/vedaseg | A PyTorch-based toolbox for building and training semantic segmentation models | 408 |
 kreshuklab/plant-seg | A tool for cell instance aware segmentation in densely packed 3D volumetric images | 101 |
 developmentseed/label-maker | Automatically annotates satellite images with OpenStreetMap data | 461 |
 hszhao/semseg | A PyTorch implementation of semantic segmentation models with support for multiprocessing training and various backbones. | 1,347 |
 parulnith/satellite-imagery-analysis-with-python | Analyze satellite imagery to investigate environmental and humanitarian challenges | 50 |
 esa-philab/iris | A tool for manually segmenting images from satellite data with AI assistance | 141 |
| mitmul/ssai | An aerial imagery segmentation tool using deep learning techniques to identify buildings and roads from satellite images. | 27 |
 sacmehta/espnet | A deep learning framework for semantic segmentation on edge devices. | 542 |
 geoyi/pixel-decoder | A tool for running deep learning algorithms for semantic segmentation with satellite imagery using encoder-decoder architecture | 78 |