Satellite_image_segmentation
Predicting land cover types using remote sensing data with computer vision. Used Convolutional Neural Networks to segment satellite imagery into different land type classes.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Satellite Imagery Datasets Containing Ships | 325 | 7 months ago | mit | |||||||
| A list of radar and optical satellite datasets for ship detection, classification, semantic segmentation and instance segmentation tasks. | ||||||||||
| 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 | 3 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 | ||||||||||
| Spacenet_building_detection | 140 | 10 months ago | 1 | mit | Jupyter Notebook | |||||
| Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries. | ||||||||||
| Building Footprint Segmentation | 86 | 8 months ago | 6 | September 30, 2022 | 2 | apache-2.0 | Python | |||
| Building footprint segmentation from satellite and aerial imagery | ||||||||||
| Utae Paps | 71 | a year ago | 4 | mit | Jupyter Notebook | |||||
| PyTorch implementation of U-TAE and PaPs for satellite image time series panoptic segmentation. | ||||||||||
| Pixel Decoder | 53 | 4 years ago | 3 | mit | Python | |||||
| A tool of running deep learning algorithms for semantic segmentation with satellite imagery | ||||||||||
| Dubai Satellite Imagery Segmentation | 45 | a year ago | 1 | gpl-3.0 | Jupyter Notebook | |||||
| Multi-Class Semantic Segmentation on Dubai's Satellite Images. | ||||||||||
| Label Pixels | 42 | a year ago | 1 | Python | ||||||
| Label-Pixels is the tool for semantic segmentation of remote sensing images using Fully Convolutional Networks. Initially, it is designed for extracting the road network from remote sensing imagery and now, it can be used to extract different features from remote sensing imagery. | ||||||||||
Alternatives To Satellite_image_segmentationSelect To Compare
Alternative Project Comparisons
Popular Satellite Imagery Projects
Popular Semantic Segmentation Projects
Popular Mapping Categories
Related Searches
Get A Weekly Email With Trending Projects For These Categories
No Spam. Unsubscribe easily at any time.
Jupyter Notebook
Semantic Segmentation
Transfer Learning
Unet
Satellite Imagery
Cnn Keras