semantic-segmentation

Satellite image annotator

Develops deep learning models to classify and annotate pixel-level details in satellite images

CNNs for pixel-by-pixel prediction on satellite imagery

GitHub

21 stars
3 watching
6 forks
Language: Python
last commit: over 8 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

Repository Description Stars
mshiv/sat-seg Develops semantic segmentation of satellite images using deep learning techniques 10
geoyi/pixel-decoder A tool for running deep learning algorithms for semantic segmentation with satellite imagery using encoder-decoder architecture 78
developmentseed/label-maker Automatically annotates satellite images with OpenStreetMap data 461
mitmul/ssai-cnn Semantic segmentation using convolutional neural networks for aerial and satellite images 260
zhujun98/semantic_segmentation Implementations of deep learning architectures for semantic segmentation of images in various datasets. 6
itijyou/ademxapp This is an open-source implementation of a deep learning model for semantic image segmentation and image classification. 340
akirasosa/mobile-semantic-segmentation Real-time semantic segmentation for mobile devices using deep learning and MobileNetV2 architecture 715
esa-philab/iris A tool for manually segmenting images from satellite data with AI assistance 141
microsoft/satellite-imagery-labeling-tool A lightweight web interface for creating and sharing vector annotations on satellite/aerial imagery scenes 261
huaifeng1993/dfanet An implementation of a deep learning model for real-time semantic segmentation 254
lironui/abcnet Develops an efficient network architecture for semantic segmentation of high-resolution remote sensing images. 33
abbypa/nnproject_deepmask A deep learning implementation of an object segmentation algorithm. 187
martinkersner/train-deeplab Trains DeepLab for semantic image segmentation using annotated data and convolutional neural networks 172
nvidia/semantic-segmentation Monorepo implementing PyTorch-based neural network architecture for image segmentation 1,777
mapbox/robosat An end-to-end pipeline for extracting features from aerial and satellite imagery using convolutional neural networks 2,024