Satellite Image Classification using semantic segmentation methods in deep learning
☆317Mar 24, 2023Updated 3 years ago
Alternatives and similar repositories for eye-in-the-sky
Users that are interested in eye-in-the-sky are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet☆347Oct 8, 2019Updated 6 years ago
- A Tensorflow implentation of light UNet framework for remote sensing semantic segmentation task.☆154Jul 6, 2020Updated 5 years ago
- Satellite Image Segmentation using Deep Learning☆10Dec 31, 2018Updated 7 years ago
- 🛰️ List of satellite image training datasets with annotations for computer vision and deep learning☆3,879Jul 14, 2022Updated 3 years ago
- Land Cover Change Detection using Satellite Image Segmentation.☆52Dec 22, 2024Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Slums detection through VHR and MR imagery☆14May 25, 2024Updated last year
- Deep networks for Earth Observation☆484Oct 23, 2019Updated 6 years ago
- ☆625Apr 3, 2018Updated 8 years ago
- Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds☆2,055Aug 27, 2020Updated 5 years ago
- Viewer for Azavea's work on the ISPRS Potsdam image segmentation contest☆22Jul 12, 2018Updated 7 years ago
- crop classification using deep learning on satellite images☆137Jan 18, 2021Updated 5 years ago
- Dstl Satellite Imagery Feature Detection☆145Oct 18, 2017Updated 8 years ago
- 🌱 Deep Learning for Instance Segmentation of Agricultural Fields - Master thesis☆430Feb 18, 2023Updated 3 years ago
- Earth observation processing framework for machine learning in Python☆1,226Jan 15, 2026Updated 3 months ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- This includes short and minimalistic few examples covering fundamentals of Deep Learning for Satellite Image Analysis (Remote Sensing).☆104Aug 12, 2021Updated 4 years ago
- The semantic segmentation of remote sensing images☆182May 22, 2018Updated 7 years ago
- 🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.☆396Aug 30, 2020Updated 5 years ago
- DeepGlobe Land Cover Classification Challenge遥感影像语义分割☆229May 20, 2020Updated 5 years ago
- The project uses Unet-based improved networks to study Remote sensing image semantic segmentation, which is based on keras.☆141Apr 21, 2020Updated 5 years ago
- A tool for running deep learning algorithms for semantic segmentation with satellite imagery☆82Mar 24, 2023Updated 3 years ago
- DroneDeploy Machine Learning Segmentation Benchmark☆231Aug 23, 2022Updated 3 years ago
- Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery…☆282Jul 25, 2019Updated 6 years ago
- Broad Area Satellite Imagery Semantic Segmentation☆23Sep 20, 2018Updated 7 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- An open source library and framework for deep learning on satellite and aerial imagery.☆2,212Sep 29, 2025Updated 6 months ago
- Techniques for deep learning with satellite & aerial imagery☆10,100Apr 4, 2026Updated 2 weeks ago
- Code for satellite image segmentation using Unet or Mask RCNN and comparing these two approaches.☆104Jul 7, 2018Updated 7 years ago
- Pipeline for the Semantic Segmentation (i.e., classification) of Remote Sensing Imagery☆98Nov 29, 2023Updated 2 years ago
- semantic segmentation using keras☆15Apr 8, 2017Updated 9 years ago
- Implementing a remote sensing object detector using Tensorflow object detection API☆21Jul 31, 2019Updated 6 years ago
- ☆33Jul 12, 2019Updated 6 years ago
- A curated list of resources focused on Machine Learning in Geospatial Data Science.☆695Jun 21, 2018Updated 7 years ago
- my solution with 0.67 accuracy☆80May 21, 2019Updated 6 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.☆376Nov 12, 2019Updated 6 years ago
- The scripts of a 3 month project at the Indian Space Research Organisation,Dehradun. The scripts contain code for a U-Net model for Satel…☆25Nov 5, 2019Updated 6 years ago
- Jupyter Notebook for SAR flood analysis in Pakistan with Google Earth Engine Python API☆12Jan 1, 2024Updated 2 years ago
- Open solution to the Mapping Challenge☆388Mar 22, 2021Updated 5 years ago
- Field delineation with Sentinel-2 data from Sentinel-Hub and a ResUnet-a architecture.☆164Aug 10, 2023Updated 2 years ago
- Examples of using Raster Vision on open datasets☆174Jul 3, 2020Updated 5 years ago
- The implementation of FDCNN in paper - A Feature Difference Convolutional Neural Network-Based Change Detection Method☆75Sep 15, 2020Updated 5 years ago