Ecosyste.ms: Repos

An open API service providing repository metadata for many open source software ecosystems.

GitHub topics: pothole-detection

Repositories

DmPanf/Potholes_Detector

Language: Python - Size: 10.6 MB - Last synced: 23 days ago - Pushed: 23 days ago - Stars: 3 - Forks: 1

vivekkj123/pothole-tracker

Pothole Detection and mapping using YoloV4, done for S6 Mini project

Language: C - Size: 131 MB - Last synced: 22 days ago - Pushed: about 2 months ago - Stars: 0 - Forks: 0

mounishvatti/pothole_detection_yolov8

Pothole Detection using Image Segmentation by using a custom dataset with over 700+ images trained on Roboflow and predicting using the latest Ultralytics YOLOv8.

Language: Jupyter Notebook - Size: 24.9 MB - Last synced: about 1 month ago - Pushed: 3 months ago - Stars: 6 - Forks: 4

Tanwar-12/POT-HOLE-DETECTION-YLOLOV5

This dataset could be used for automatically finding and categorizing potholes in city streets so the worst ones can be fixed faster.

Language: Jupyter Notebook - Size: 25.8 MB - Last synced: about 2 months ago - Pushed: 3 months ago - Stars: 5 - Forks: 0

keremberke/awesome-yolov8-models

Easy-to-use finetuned YOLOv8 models.

Language: HTML - Size: 51.8 KB - Last synced: about 2 months ago - Pushed: over 1 year ago - Stars: 145 - Forks: 22

srajan-kiyotaka/Pothole-Detection

The Model will detect whether the image consists of potholes or not. If the image consists of pothole then it will detect the total number of potholes in the image as well as it will assign them a level.

Language: Jupyter Notebook - Size: 1.27 GB - Last synced: about 1 month ago - Pushed: about 1 year ago - Stars: 8 - Forks: 2

BrianRuizy/2019-Microsoft-IoT-hackathon

🥇 1st place winner | Bump.IT - Pothole detection and mapping. Using data science methods of analysis, mobile phone's telemetry, computer vision, and, deployed through Azure.

Language: Jupyter Notebook - Size: 6.08 MB - Last synced: about 1 month ago - Pushed: over 1 year ago - Stars: 19 - Forks: 5

yagnahaunj1410/Pothole_Detection_Using_Image_Processing

Pothole detection using image processing scheme

Size: 7.43 MB - Last synced: 3 months ago - Pushed: almost 4 years ago - Stars: 9 - Forks: 3

kc-codes/Urban-Mobility-Solution

Integrated real-time data analytics for optimized public transport, innovative road monitoring using demand prediction, and conditioning tech for sustainability, real time pothole detection either by image or video, smart parking count system for efficiency using AI/ML.

Language: Python - Size: 24.4 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 1 - Forks: 0

hamidhosen42/Pothole-Detection-Using-Transfer-Learning-Models-A-Comparative-Study

Pothole Detection Using Transfer Learning Models: A Comparative Study

Language: Jupyter Notebook - Size: 41.2 MB - Last synced: 2 months ago - Pushed: 5 months ago - Stars: 1 - Forks: 0

E-Kozyreva/detection_potholes_yolov8n 📦

Поиск выбоин на дорогах с использованием YOLOv8 Nano

Language: Jupyter Notebook - Size: 21.2 MB - Last synced: 3 months ago - Pushed: over 1 year ago - Stars: 2 - Forks: 0

jaygala24/pothole-detection

Dataset accompanying the paper titled "Pothole detection and dimension estimation system using deep learning (YOLO) and image processing"

Size: 5.86 KB - Last synced: about 2 months ago - Pushed: about 1 year ago - Stars: 6 - Forks: 1

akshxyjagtap/Pothole-Detection-System-using-YOLO-Tiny-v4

An intelligent Pothole Detection system using YOLOv4 Tiny, capable of identifying and categorizing potholes . The severity level of each pothole (Low, Medium, High) is assessed based on its area in the frame. This system provides a valuable tool for monitoring road conditions and prioritizing maintenance efforts.

Language: Python - Size: 135 MB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 0 - Forks: 0

Rinkesh-8/YOLO_Potholes-Detection

A computer Vision project for avoiding potholes on road.

Language: Jupyter Notebook - Size: 28.7 MB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 0 - Forks: 0

devstrons/pothole-detector

Helping navigate through maps to prefer road-way.

Language: Dart - Size: 20.5 KB - Last synced: about 1 month ago - Pushed: about 2 years ago - Stars: 8 - Forks: 7

noorkhokhar99/Pothole-Detection-Pothole-Detection-using-python-and-deep-learning

Pothole Detection || Pothole Detection using python and deep learning

Language: Python - Size: 4.15 MB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 2 - Forks: 0

tschia94/PODOR

The goal of this project is to develop a robust and scalable solution that can automatically identify and classify potholes in real-time using image and video data from various sources, such as dashcams, traffic cameras, or drones.

Language: CSS - Size: 67.5 MB - Last synced: 11 months ago - Pushed: 11 months ago - Stars: 0 - Forks: 0

averagePedestrian/Pothole-detection-using-smartphone-A-Driver-Assistant

A mobile application made in Flutter that is capable of detecting potholes in real-time and alerting the driver to avoid any accidents caused by potholes. The app also estimates approx dimensions of the pothole to measure the severity may caused upon accident.

Language: Dart - Size: 53.1 MB - Last synced: 11 months ago - Pushed: about 1 year ago - Stars: 1 - Forks: 0

hariprasath-v/AV-Dataverse-Hack-Build-an-AI-Model-to-Save-Lives

Build a computer vision-based technology to process and detect the potholes present in an image.

Language: Jupyter Notebook - Size: 90.1 MB - Last synced: 5 months ago - Pushed: over 1 year ago - Stars: 3 - Forks: 0

HarshAgarwal2703/Pothole-Project

Road transport is the most widely used means of transportation around the world. With this high use of road transport, the safety of travellers’ becomes the prime concern for any governing authority. While some safety concerns arise from driver errors and environmental factors, most cases are a result of poor maintenance of these roads. Potholes, specifically, are one of the leading causes of road accidents throughout the world and need to be taken care of immediately, by the authorities. This paper presents a solution that makes use of civilians’ mobile sensors, along with image-based alternatives to detect potholes in real-time, using Machine Learning. The concerned authorities are then notified about the same through a web-based portal, to take the necessary action. The solution also incorporates pivoting existing complaints, location tagging and prioritization. Additionally, the solution provides a forecast of the likelihood of issues regarding potholes, constantly updating time series data of the locations.

Language: Jupyter Notebook - Size: 7.22 MB - Last synced: over 1 year ago - Pushed: almost 3 years ago - Stars: 6 - Forks: 2