satellite-image-deep-learning / model-training-and-deploymentLinks
Training and deployment of deep learning models for satellite & aerial imagery
☆63Updated 2 weeks ago
Alternatives and similar repositories for model-training-and-deployment
Users that are interested in model-training-and-deployment are comparing it to the libraries listed below
Sorting:
- ☆71Updated last year
- Winning Solutions from Crop Type Detection Competition at CV4A workshop, ICLR 2020☆67Updated 5 years ago
- A toolkit that enables building damage assessments from remotely sensed imagery.☆125Updated 4 months ago
- GeoPatch is a package for generating patches from remote sensing data☆53Updated 3 weeks ago
- Python for Raw Sentinel-2 data (PyRawS) is an open-source software providing utilities to open and process Sentinel 2 RAW data, which cor…☆86Updated 11 months ago
- This includes short and minimalistic few examples covering fundamentals of Deep Learning for Satellite Image Analysis (Remote Sensing).☆98Updated 4 years ago
- Application of deep learning on Satellite Imagery of Sentinel-2 satellite that move around the earth from June, 2015. This image patches …☆92Updated last year
- A Python package for Remote Sensing Data Analysis☆126Updated 10 months ago
- Field delineation with Sentinel-2 data from Sentinel-Hub and a ResUnet-a architecture.☆160Updated 2 years ago
- Enhancement of MODIS NIDVI to 10m resolution using U-Net☆30Updated 2 years ago
- Automatically create machine learning datasets from satellite images☆42Updated 3 years ago
- Annotation of datasets for deep learning applied to satellite and aerial imagery☆57Updated 2 months ago
- ☆57Updated last year
- Machine Learning for Earth Observation Training of Trainers Bootcamp☆101Updated 3 years ago
- Image segmentations of trees outside forest☆168Updated 7 months ago
- Land Cover Change Detection using Satellite Image Segmentation.☆50Updated 8 months ago
- End-to-end workflow for generating high resolution cropland maps☆109Updated last month
- A community-driven effort to make examples, user-defined processes and code snippets available in a single place.☆48Updated last month
- An ecosystem of data, models and code pipelines to tackle flooding with ML🌊☆162Updated 2 weeks ago
- Open source remote sensing dataset with benchmarks☆201Updated last year
- This repository houses a novel patch-based dataset compiled using optical satellite images of Canadian agricultural croplands retrieved f…☆43Updated 2 years ago
- ☆57Updated last year
- Python scripts for the textbook "Image Analysis, Classification and Change Detection in Remote Sensing, Fourth Revised Edition"☆110Updated 2 years ago
- Sen4AgriNet: A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning☆100Updated 9 months ago
- Examples of Earth observation workflows that extract valuable information from satellite imagery, giving you hints and ideas how to use t…☆48Updated last month
- NGA Deep Learning☆28Updated 4 years ago
- Satellite cloud removal with Deep Image Prior.☆69Updated last year
- Reproducing the "End-to-End Google Earth Engine" course using Jupyter Notebooks and geemap.☆78Updated 4 years ago
- A CNN-RNN based model that identifies correlations between optical and SAR data and exports dense Normalized Difference Vegetation Index …☆46Updated last year
- A list of datasets aiming to enable Artificial Intelligence applications that use Copernicus data.☆171Updated last year