170 skills found · Page 1 of 6
USC-InfoLab / Rddc2020road damage detection challenge 2020
bigtreetech / BIGTREETECH Relay V1.2BIGTREETECH Relay V1.2 is an upgrade of the original (BIGTREETECH V1.0). After upgrading, a small MCU was added on the module to make the module more controllable and stable. Besides, we have also increased short circuit detection circuit. After connecting the 5V and GND on the motherboard to the module, if there is a 5V short circuit, the module will immediately power off to prevent damage on the motherboard and the risk of fire caused by short circuit.
captain-woof / Malware StudyMy projects to understand malware development and detection. Use responsibly. I'm not responsible if you cause unauthorised damage to anyone's system.
konskyrt / Concrete Crack Detection Segmentation📅This repository contains the code for crack detection in concrete surfaces. It is a PyTorch implementation of Deep Learning-Based Crack Damage Detection Using Convolutional Neural Networks
mahdi65 / RoadDamageDetection2020repository contain codes for IEEE BigData Cup Challange 2020
QinganZhao / Deep Learning Based Structural Damage DetectionStructural damage detection using convolutional neural networks
Z-Zheng / ChangeOSChangeOS: Building damage assessment via Deep Object-based Semantic Change Detection - (RSE 2021)
oracl4 / RoadDamageDetectionRoad damage detection application, using YOLOv8 deep learning model trained on Crowdsensing-based Road Damage Detection Challenge 2022 dataset
thiagortk / Road Surface Detection And Differentiation Considering Surface DamagesSemantic Segmentation in road surfaces, considering different pattern like asphalt, unpaved, potholes, etc.
FarzadNekouee / YOLOv8 Pothole Segmentation Road Damage AssessmentAutomated pothole detection and road damage assessment using YOLOv8-seg for real-time analysis.
LeadingIndiaAI / Forest Fire Detection Through UAV Imagery Using CNNsWildfire is a natural disaster, causing irreparable damage to local ecosystem. Sudden and uncontrollable wildfires can be a real threat to residents’ lives. Statistics from National Interagency Fire Center (NIFC) in the USA show that the burned area doubled from 1990 to 2015 in the USA. Recent wildfires in northern California (reported by CNN) have already resulted in more than 40 deaths and 50 missing. More than 200,000 local residents have been evacuated under emergency. The wildfires occur 220,000 times per year globally, the annual burned area is over 6 million hectares. Accurate and early detection of wildfire is therefore of great importance. Fire detection task is crucial for people safety. Several fire detection systems were developed to prevent damages caused by fire. One can find different technical solutions. Most of them are sensors based and are also generally limited to indoors. They detect the presence of particles generated by smoke and fire by ionization, which requires a close proximity to the fire. Consequently, they cannot be used in large covered area. Moreover, they cannot provide information about initial fire location, direction of smoke propagation, size of the fire, growth rate of the fire, etc. To get over such limitations video fire detection systems are used
basel-ay / Automated Car Damage DetectionImplementation of Mask-RCNN for detecting and segmenting damaged areas in car images for the purpose of damage assessment.
Lakamfo / PenetrationSystemHigh-performance penetration system simulating realistic bullet behavior through multiple materials. Features thickness-based damage calculation, multi-layer penetration, and optimized collision detection for complex geometry
olliestephenson / Dpm Rnn PublicDamage mapping with deep learning on satellite data
hudacbr / D TECT# D-TECT D-TECT - Pentest the Modern Web Author: [Shawar Khan] (https://shawarkhan.com/about/) Disclaimer: I am not responsible for any damage done using this tool. This tool should only be used for educational purposes and for penetration testing. ###Compatibility: * Any platform using Python 2.7 ###Requirements: * Python 2.7 * Modules(included): Colorama, BeautifulSoup ###Description: **D-TECT** is an All-In-One Tool for Penetration Testing. This is specially programmed for Penetration Testers and Security Researchers to make their job easier, instead of launching different tools for performing different task. **D-TECT** provides multiple features and detection features which gather target information and finds different flaws in it. ###Features: * Sub-domain Scanning * Port Scanning * Wordpress Scanning * Wordpress Username Enumeration * Wordpress Backup Grabbing * Sensitive File Detection * Same-Site Scripting Scanning * Click Jacking Detection * Powerful XSS vulnerability scanning * SQL Injection vulnerability scanning * User-Friendly UI ###Usage: python d-tect.py #Screenshots: ###Menu:  ###Banner Grabbing:  ###Click Jacking Detection:  ###Port Scanner:  ###WP Backup Grabber:  ###Sensitive File Detection:  ###Cross-Site Scripting [ XSS ] Scanner:  ###SQL Injection [ SQLI ] Scanner:  ###Sub-domain Scanner:  ###WP Username Enumeration:  ###Same Site Scripting detection:  # Special Thanks To: * Curt Smith * Tayyab Qadir * Mugees Ahmad
EashanKaushik / Car Damage Detecting MaskRCNNCar damage detection using Mask Regional Convolution Neural Network
guanyuezhen / UFCDA Pytorch-based toolbox for three different change detection tasks, including binary change detection (BCD), semantic change detection (SCD), and building damage assessment (BDA).
adions025 / Damage Detection MaskRCNNThis repository focuses on the automation of blade inspection, using different Computer Vision (CV) approaches and methods to detect damage on the wind turbine blades.
monkvision / MonkjsReact and React-Native SDK for integrating the Monk damage detection workflows into your apps.
jahongir7174 / SimpleNetSimpleNet: A Simple Network for Image Anomaly Detection and Localization
