sshuair / torchsat
π₯TorchSat π is an open-source deep learning framework for satellite imagery analysis based on PyTorch.
β397Updated 4 years ago
Alternatives and similar repositories for torchsat:
Users that are interested in torchsat are comparing it to the libraries listed below
- CosmiQ Works Geospatial Machine Learning Analysis Toolkitβ421Updated 2 years ago
- Satellite Image Classification using semantic segmentation methods in deep learningβ307Updated 2 years ago
- Deep networks for Earth Observationβ477Updated 5 years ago
- Collection of Remote Sensing Resourcesβ108Updated 3 years ago
- Experiments with satellite image dataβ121Updated 5 years ago
- Winners of the Open Cities AI Challenge competitionβ124Updated last year
- Sentinel Hub Cloud Detector for Sentinel-2 images in Pythonβ452Updated 6 months ago
- Baseline localization and classification models for the xView 2 challenge.β222Updated last year
- Analyzing Sentinel-2 satellite data in Python with Keras (repository of our talks at Minds Mastering Machines 2019 and PyCon 2018)β195Updated 3 years ago
- Data Preparation for Satellite Machine Learningβ465Updated last year
- Winning Solutions from SpaceNet Road Detection and Routing Challengeβ207Updated last year
- Deep learning pretrained model on satellite imagery (Sentinel-2)β80Updated 5 years ago
- EuroSAT: Land Use and Land Cover Classification with Sentinel-2β440Updated 2 years ago
- Open source notebooks to create state-of-the-art detection, segmentation, & classification of buildings on drone/aerial imagery with deepβ¦β196Updated 5 years ago
- Super-Resolution of Sentinel-2 Images: Learning a Globally Applicable Deep Neural Networkβ250Updated 5 months ago
- Building detector algorithms from second SpaceNet Challengeβ193Updated 4 years ago
- Sample scripts and notebooks on processing satellite imagery Python Geospatial rasterβ191Updated 2 years ago
- The winning solutions for the SpaceNet 6 Challengeβ74Updated 4 years ago
- DroneDeploy Machine Learning Segmentation Benchmarkβ225Updated 2 years ago
- PyTorch implementation of popular datasets and models in remote sensingβ384Updated last year
- Winning algorithms for the SpaceNet 4: Off-Nadir Building Footprint Detection Challengeβ175Updated 4 years ago
- Open solution to the Mapping Challengeβ386Updated 4 years ago
- Dstl Satellite Imagery Feature Detectionβ144Updated 7 years ago
- Land Cover Mappingβ202Updated last year
- AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.β199Updated last month
- Water Detect Algorithmβ205Updated 7 months ago
- Rapid satellite imagery object detectionβ221Updated 4 years ago
- Road network extraction from satellite imagery, with speed and travel time estimatesβ190Updated 2 years ago
- Pipeline for the Semantic Segmentation (i.e., classification) of Remote Sensing Imageryβ97Updated last year
- Geoseg - A Computer Vision Package for Automatic Building Segmentation and Outline extractionβ108Updated 3 years ago