Road Damage Detection Challenge
Road Damage Detection (ORDDC'2024)
title: Road Damage Detection (ORDDC'2024)
description: The Optimized Road Damage Detection Challenge 2024 (ORDDC'2024) is a competitive project aimed at developing advanced machine learning models to detect and classify road damages accurately and efficiently. The challenge involves utilizing a large dataset of over 40,000 road images to improve model performance, accuracy, and processing speed.
tool: YOLO, Ensemble Learning, Multi-processing
Jooyoung Yoo, Reem Emad Shtaiwi, Mohammad Yasin, Dweep Trivedi, Abdullah Alfarrarjeh, Amani Abu Jabal, Seon Ho Kim. “Towards Real-world Deployment of Deep Learning Solutions for Global Road Damage Detection and Classification” To appear in the IEEE International Conference on Big Data, Big Data Cup Challenge (ORDDC2024), Dec. 2024.
This paper is currently under review. More details will be updated soon!
