Popular GitHub Repositories for Buildings

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

Gym environment for building simulation and control using reinforcement learning

We propose a simple yet efficient technique to leverage semantic segmentation model to extract and separate individual buildings in densely compacted areas using medium resolution satellite/UAV orthoimages. We adopted standard UNET architecture, additionally added batch normalization layer after every convolution, to label every pixel in the image.

brickllm with langgraph

? OpenStreetMap, AI import tool for buildings in Poland

This master thesis aims to perform semantic segmentation of buildings on satellite images from the SpaceNet challenge 1 dataset using the U-Net architecture.

A digital companion to the research paper "Utility-Based Context-Aware Multi-Agent Recommendation System for Energy Efficiency in Residential Buildings", by Valentyna Riabchuk, Leon Hagel, Felix Germaine, and Alona Zharova

Object detection is the computer vision task of detecting instances (such as humans, buildings, or cars) in an image. Object detection models receive an image as input and output coordinates of the bounding boxes and associated labels of the detected objects.

This project implements a simulation of evacuation of people from buildings using RL. Agents make decisions based on Raycast observations, simulating a person's limited vision.

This is a multiclass image classification problem. There data contains images from 6 categories 'buildings','forest','glacier','mountain','sea','street'. The aim is to develop a machine learning model that correctly classifies an input image into one of the categories

Solution of my first DL competition - MayaChallenge. Task is segmentation of Maya buildings on satellite images.

SwiftUI iOS application that uses AI to recognize historical buildings and museums of Gdańsk.

This project addresses the challenge of predicting baseline energy usage in buildings for performance-based financing. Participants estimate what energy a building *would have used* without retrofits, enabling fair billing and encouraging investment in energy efficiency.