Easy-to-use finetuned YOLOv8 models.

Attention Aggregation Framework in PyTorch, ECCV Workshops 2020

🥇 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.

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

Pothole Detection || Pothole Detection using python and deep learning

Road Damage Detection Based on Unsupervised Disparity Map Segmentation (T-ITS)

Pothole detection using image processing scheme

Helping navigate through maps to prefer road-way.

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.

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

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

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…

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.

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 python OpenCV on GUI based Console

Using deep learning and transfer learning techniques to differentiate plain roads and those with potholes using three different classifiers to obtain the best accuracy with the same convolutional base

Поиск выбоин на дорогах с использованием YOLOv8 Nano

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