Albumentations on GitHub in Infrastructure

#1

khanhha/crack_segmentation

This repository contains code and dataset for the task crack segmentation using two architectures UNet_VGG16, UNet_Resnet and DenseNet-Tiramusu

#2

ChenHongruixuan/BRIGHT

[ESSD 2025 & IEEE DFC 2025 & CVPRW 2026] Bright: A globally distributed multimodal VHR dataset for all-weather disaster response

#3

HqiTao/CT-crackseg

Official code for ICIP 2023 paper "A Convolutional-Transformer Network for Crack Segmentation with Boundary Awareness"

#4

Subham2901/Concrete_Crack_Segmentation

A Unet based modified architecture for crack detection

#5

guanyuezhen/UFCD

A Pytorch-based toolbox for three different change detection tasks, including binary change detection (BCD), semantic change detection (SCD), and building damage assessment (BDA).

#6

KevinCheung2259/NestedUnet

Road crack detection project based on NestedUnet model

#7

sujims22/Semantic_Segmentation_Cracks

This project employs CNN and transformer models for semantic segmentation of building damage in Mexico City's 2017 earthquake, using annotated imagery to identify features like cracks and exposed rebar.

#8

YimingXiao98/DamageCAT

A categorical typology-based building damage classification framework using satellite imagery and deep learning

#9

umuragw/YOLOv9

Road damage were detected with YOLOv9

#10

AytajHsnv/master-thesis

This is Master Thesis. It is Development of a demonstrator for crack detection in sewer systems.

#11

acharaakshit/truedeep

Code for the paper "TrueDeep: A systematic approach of crack detection with less data" (Expert Systems with Applications 2024)

#12

anetaObrochta/concrete_crack_detection

Machine Learning model for detecting cracks in images of concrete

#13

danieisere/RescueNet-Segmentation

🏗️ Building damage assessment via semantic segmentation on RescueNet dataset. PyTorch implementation with focal loss for class imbalance handling.

#14

erensari/building-damage-assessment

This project uses satellite imagery with deep learning and computer vision to detect damage caused by natural disasters like earthquakes and fires. It aims to identify damage in hard-to-reach areas, speeding up post-disaster assessments and improving resource allocation for emergency response.

#15

jeongjae96/soteria8-crack-detection

이어드림 스쿨 3기 스타트업 연계 프로젝트 3팀 - 소테리아에이트 시간의 흐름에 따른 노후 인프라시설 건축물의 외관과 내부 Crack 감지

#16

lvzhuojun/banknote_crack_detection

拼装币检测