manideep2510 / eye-in-the-skyLinks
Satellite Image Classification using semantic segmentation methods in deep learning
☆317Updated 2 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
Sorting:
- Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet☆343Updated 6 years ago
- Dstl Satellite Imagery Feature Detection☆145Updated 8 years ago
- Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.☆202Updated 2 years ago
- Road Detection from satellite images using U-Net.☆61Updated 2 years ago
- A Tensorflow implentation of light UNet framework for remote sensing semantic segmentation task.☆153Updated 5 years ago
- 🌱 Deep Learning for Instance Segmentation of Agricultural Fields - Master thesis☆426Updated 2 years ago
- 🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.☆397Updated 5 years ago
- Open solution to the Mapping Challenge☆388Updated 4 years ago
- It employes Principal Component Analysis (PCA) and K-means clustering techniques over difference image to detect changes in multi tempora…☆169Updated 7 months ago
- Baseline localization and classification models for the xView 2 challenge.☆234Updated 2 years ago
- Deep networks for Earth Observation☆482Updated 6 years ago
- Pipeline for the Semantic Segmentation (i.e., classification) of Remote Sensing Imagery☆98Updated 2 years ago
- Mask-RCNN baseline for the crowdAI Mapping Challenge☆262Updated 4 years ago
- Road and Building Segmentation in Satellite Imagery☆144Updated 2 years ago
- 8th place solution to Zindi's FarmPin Crop Detection Challenge☆139Updated 5 years ago
- Analyzing Sentinel-2 satellite data in Python with Keras (repository of our talks at Minds Mastering Machines 2019 and PyCon 2018)☆194Updated 4 years ago
- Deep Semangtic segmentation of Worldview-3 satellite images using a U-net (DSTL kaggle competition)☆27Updated 6 years ago
- Urban change model designed to identify changes across 2 timestamps☆62Updated 2 years ago
- Building detector algorithms from second SpaceNet Challenge☆194Updated 5 years ago
- DroneDeploy Machine Learning Segmentation Benchmark☆231Updated 3 years ago
- Open source notebooks to create state-of-the-art detection, segmentation, & classification of buildings on drone/aerial imagery with deep…☆196Updated 6 years ago
- Satellite image processing pipeline to classify land-cover and land-use☆88Updated 8 years ago
- Deep learning pretrained model on satellite imagery (Sentinel-2)☆81Updated 6 years ago
- Winners of the Open Cities AI Challenge competition☆125Updated 2 years ago
- Using Pytorch implementation of U-Net architecture for road and building extraction☆133Updated 7 years ago
- Unstructured Change detection in satellite imagery☆59Updated 5 years ago
- This data set includes Landsat 8 images and their manually extracted pixel-level ground truths for cloud detection.☆165Updated 5 years ago
- Geoseg - A Computer Vision Package for Automatic Building Segmentation and Outline extraction☆115Updated 4 years ago
- Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery…☆281Updated 6 years ago
- A semantic segmentation CNN for cloud detection☆111Updated 5 years ago