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.

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

1200-Videos-Potholed-Road-Collection-Data

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

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.

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

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.

Pothole Detection Using Transfer Learning Models: A Comparative Study

A computer Vision project for avoiding potholes on road.

Pothole Detection || Pothole Detection using python and deep learning

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.

The pilot vehicle rounds the city daily and sends the pothole coordinates to the cloud. The app will display the pothole and if the user is near the pothole, the user will be alerted

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.

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.

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

Pothole detection using python OpenCV on GUI based Console

Spothole Core Backend (Object Detection + Flask API) - Artificial Intelligence Powered Pothole Detection, Reporting and Management Solution

Easy-to-use finetuned YOLOv8 models.

Поиск выбоин на дорогах с использованием YOLOv8 Nano