CosmiQ / solarisLinks
CosmiQ Works Geospatial Machine Learning Analysis Toolkit
β438Updated 2 months ago
Alternatives and similar repositories for solaris
Users that are interested in solaris are comparing it to the libraries listed below
Sorting:
- Data Preparation for Satellite Machine Learningβ471Updated 2 years ago
- π₯TorchSat π is an open-source deep learning framework for satellite imagery analysis based on PyTorch.β397Updated 5 years ago
- Deep learning applied to georeferenced datasetsβ188Updated 2 weeks ago
- Sentinel Hub Cloud Detector for Sentinel-2 images in Pythonβ478Updated last year
- Earth observation processing framework for machine learning in Pythonβ1,215Updated 10 months ago
- Analyzing Sentinel-2 satellite data in Python with Keras (repository of our talks at Minds Mastering Machines 2019 and PyCon 2018)β194Updated 4 years ago
- Road network extraction from satellite imagery, with speed and travel time estimatesβ197Updated 3 years ago
- Land Cover Mappingβ203Updated 2 years ago
- Examples of using Raster Vision on open datasetsβ174Updated 5 years ago
- Tree detection from aerial imagery in Pythonβ277Updated last week
- A sample project demonstrating how to extract building footprints from satellite images using a semantic segmentation model. Data from thβ¦β109Updated 5 years ago
- This is a lightweight web-interface for creating and sharing vector annotations over satellite/aerial imagery scenes.β286Updated 3 months ago
- Download and process satellite imagery in Python using Sentinel Hub services.β880Updated 2 months ago
- AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.β207Updated this week
- EuroSAT: Land Use and Land Cover Classification with Sentinel-2β520Updated 2 years ago
- Winners of the Open Cities AI Challenge competitionβ126Updated 2 years ago
- π± Deep Learning for Instance Segmentation of Agricultural Fields - Master thesisβ424Updated 2 years ago
- Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imageryβ¦β281Updated 6 years ago
- Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.β202Updated 2 years ago
- Earth Observation Data Access Gatewayβ401Updated this week
- Road and Building Segmentation in Satellite Imageryβ144Updated 2 years ago
- Baseline localization and classification models for the xView 2 challenge.β232Updated 2 years ago
- curated list of awesome tools, tutorials and APIs for Copernicus Sentinel satellite dataβ570Updated 10 months ago
- Deep learning with otb (mirror of https://forgemia.inra.fr/orfeo-toolbox/otbtf)β168Updated 7 months ago
- Automated Building Detection using Deep Learningβ102Updated last year
- Collection of Remote Sensing Resourcesβ112Updated 3 years ago
- A curated list of resources focused on Machine Learning in Geospatial Data Science.β690Updated 7 years ago
- ArcGIS built-in python raster functions for deep learning to get you started fast.β199Updated last year
- 8th place solution to Zindi's FarmPin Crop Detection Challengeβ138Updated 5 years ago
- Satellite Imagery Feature Detection with SpaceNet dataset using deep UNetβ342Updated 6 years ago