Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet
☆348Oct 8, 2019Updated 6 years ago
Alternatives and similar repositories for deep-unet-for-satellite-image-segmentation
Users that are interested in deep-unet-for-satellite-image-segmentation are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A Tensorflow implentation of light UNet framework for remote sensing semantic segmentation task.☆154Jul 6, 2020Updated 5 years ago
- Satellite Image Classification using semantic segmentation methods in deep learning☆320Mar 24, 2023Updated 3 years ago
- Dstl Satellite Imagery Feature Detection☆145Oct 18, 2017Updated 8 years ago
- Deep Semangtic segmentation of Worldview-3 satellite images using a U-net (DSTL kaggle competition)☆28Jan 26, 2020Updated 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
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.☆375Nov 12, 2019Updated 6 years ago
- Deep networks for Earth Observation☆484Oct 23, 2019Updated 6 years ago
- ☆624Apr 3, 2018Updated 8 years ago
- Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds☆2,056Aug 27, 2020Updated 5 years ago
- Code for satellite image segmentation using Unet or Mask RCNN and comparing these two approaches.☆104Jul 7, 2018Updated 7 years ago
- 🛰️ List of satellite image training datasets with annotations for computer vision and deep learning☆3,884Jul 14, 2022Updated 3 years ago
- The semantic segmentation of remote sensing images☆182May 22, 2018Updated 8 years ago
- Earth observation processing framework for machine learning in Python☆1,232Jan 15, 2026Updated 4 months ago
- Open solution to the Mapping Challenge☆387Mar 22, 2021Updated 5 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- 🌱 Deep Learning for Instance Segmentation of Agricultural Fields - Master thesis☆431Feb 18, 2023Updated 3 years ago
- Satellite Imagery Feature Detection (68 out of 419)☆33Mar 9, 2024Updated 2 years ago
- Segmentation of Satellite Images☆10May 3, 2024Updated 2 years ago
- An open source library and framework for deep learning on satellite and aerial imagery.☆2,220Sep 29, 2025Updated 8 months ago
- Techniques for deep learning with satellite & aerial imagery☆10,153May 9, 2026Updated 2 weeks ago
- Pipeline for the Semantic Segmentation (i.e., classification) of Remote Sensing Imagery☆98Nov 29, 2023Updated 2 years ago
- Code for a winning model (3 out of 419) in a Dstl Satellite Imagery Feature Detection challenge☆163Jun 9, 2018Updated 7 years ago
- Implementing a remote sensing object detector using Tensorflow object detection API☆21Jul 31, 2019Updated 6 years ago
- Road and Building Segmentation in Satellite Imagery☆142Mar 24, 2023Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- The project uses Unet-based improved networks to study Remote sensing image semantic segmentation, which is based on keras.☆141Apr 21, 2020Updated 6 years ago
- Urban change model designed to identify changes across 2 timestamps☆63Sep 7, 2023Updated 2 years ago
- Rapid satellite imagery object detection☆223May 8, 2020Updated 6 years ago
- ☆22Nov 1, 2017Updated 8 years ago
- Python implementation of image segmentation algorithm of Shepherd et al (2019) Operational Large-Scale Segmentation of Imagery Based on I…☆12Feb 24, 2026Updated 3 months ago
- Pytorch implementation of UNet for converting aerial satellite images into google maps kinda images.☆30Oct 2, 2018Updated 7 years ago
- 遥感图像的语义分割，分别使用Deeplab V3+(Xception 和mobilenet V2 backbone)和unet模型，keras+python☆221May 30, 2020Updated 5 years ago
- DroneDeploy Machine Learning Segmentation Benchmark☆232Aug 23, 2022Updated 3 years ago
- Codebase for land cover classification with U-Net☆25Dec 20, 2018Updated 7 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Analyzing Sentinel-2 satellite data in Python with Keras (repository of our talks at Minds Mastering Machines 2019 and PyCon 2018)☆195May 12, 2026Updated 2 weeks ago
- Satellite image processing pipeline to classify land-cover and land-use☆88May 25, 2017Updated 9 years ago
- Hyperspectral image generator with augmentation for Keras☆42Aug 2, 2024Updated last year
- 🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.☆396Aug 30, 2020Updated 5 years ago
- Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.☆204Jun 29, 2023Updated 2 years ago
- High-Resolution Multispectral Dataset for Semantic Segmentation☆88Oct 22, 2022Updated 3 years ago
- DeepGlobe Land Cover Classification Challenge遥感影像语义分割☆230May 20, 2020Updated 6 years ago