5th-place solution for SpaceNet-8: Flood Detection Challenge Using Multiclass Segmentation

Tools for Implementation of STAC SPEC for SpaceNet dataset https://github.com/radiantearth/stac-spec/tree/dev

Automatic Building Footprint Segmentation: U-Net Production-Level API

Building detection from the SpaceNet dataset using UNet.

Mask RCNN trained to detect buildings from the SpaceNet Off Nadir dataset

This software is a modification of Visualizer from Spacenet competition for road extraction. I made it work for DeepGlobe dataset also.

python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.

Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.

Building detector algorithms from second SpaceNet Challenge

Winning Solutions from SpaceNet Road Detection and Routing Challenge

Building detection from the SpaceNet dataset by using Mask RCNN.

Packages intended to assist in the preprocessing of SpaceNet satellite imagery data corpus to a format that is consumable by machine learning algorithms.