A computer Vision project for avoiding potholes on road.

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.

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.

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

Pothole Detection Using Transfer Learning Models: A Comparative Study

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

Поиск выбоин на дорогах с использованием YOLOv8 Nano

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.

Pothole Detection using Faster-RCNN and YOLO v3

1200-Videos-Potholed-Road-Collection-Data

A pothole detection DL algorithm using Yolo v2 and Tensorflow

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

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.

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

Pothole detection using python OpenCV on GUI based Console

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

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.

This is a pothole detection detection system created using Image Classification by Convolutional Neural Networks.

CS512-Computer vision assignments and project