satellite-image-deep-learning / model-training-and-deploymentLinks
Training and deployment of deep learning models for satellite & aerial imagery
☆62Updated last month
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:
- ☆70Updated last year
- Examples of Earth observation workflows that extract valuable information from satellite imagery, giving you hints and ideas how to use t…☆48Updated last month
- 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
- Enhancement of MODIS NIDVI to 10m resolution using U-Net☆30Updated 2 years ago
- A Python package for Remote Sensing Data Analysis☆126Updated 9 months ago
- GeoPatch is a package for generating patches from remote sensing data☆48Updated last week
- Open source remote sensing dataset with benchmarks☆200Updated last year
- A toolkit that enables building damage assessments from remotely sensed imagery.☆124Updated 4 months ago
- Winning Solutions from Crop Type Detection Competition at CV4A workshop, ICLR 2020☆67Updated 5 years ago
- Annotation of datasets for deep learning applied to satellite and aerial imagery☆56Updated 2 months ago
- This includes short and minimalistic few examples covering fundamentals of Deep Learning for Satellite Image Analysis (Remote Sensing).☆98Updated 3 years ago
- Satellite cloud removal with Deep Image Prior.☆68Updated 11 months ago
- Field delineation with Sentinel-2 data from Sentinel-Hub and a ResUnet-a architecture.☆157Updated 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
- ☆196Updated 4 years ago
- End-to-end workflow for generating high resolution cropland maps☆108Updated 3 weeks ago
- An ecosystem of data, models and code pipelines to tackle flooding with ML🌊☆161Updated this week
- Application of deep learning for earth observation.☆115Updated last year
- An LSTM to generate a crop mask for Togo☆31Updated 4 years ago
- Hydro -- A Foundation Model for Water in Satellite Imagery☆57Updated 6 months ago
- ☆80Updated 2 years ago
- Super-resolution of 10 Sentinel-2 bands to 5-meter resolution, starting from L1C or L2A (Theia format) products.☆93Updated 4 months ago
- Automatically create machine learning datasets from satellite images☆42Updated 3 years ago
- NGA Deep Learning☆28Updated 4 years ago
- Machine Learning for Earth Observation Training of Trainers Bootcamp☆101Updated 3 years ago
- A neural gym for training deep learning models to carry out geoscientific image segmentation. Works best with labels generated using http…☆51Updated last week
- Python for Raw Sentinel-2 data (PyRawS) is an open-source software providing utilities to open and process Sentinel 2 RAW data, which cor…☆85Updated 10 months ago
- ☆57Updated last year
- Python scripts for the textbook "Image Analysis, Classification and Change Detection in Remote Sensing, Fourth Revised Edition"☆111Updated 2 years ago
- Water Detect Algorithm☆210Updated 2 months ago