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Dataset assetOpen Source CommunityInstance SegmentationPavement Damage Recognition

MTPDSD

MTPDSD is a comprehensive dataset containing 2,600 high‑quality pavement distress images, annotated with instance segmentation. It includes seven pavement distress categories: cracks, potholes, sealed cracks, patches, alligator cracks, facility covers, and expansion joints. In total, there are 3,596 annotated distress instances, each with a mask precisely aligned to the damage boundary.

Source
github
Created
May 21, 2024
Updated
May 21, 2024
Signals
478 views
Availability
Linked source ready
Overview

Dataset description and usage context

MTPDSD: Multi‑Type Pavement Distress Segmentation Dataset Overview

Dataset Introduction

MTPDSD is a comprehensive dataset comprising 2,600 high‑quality pavement distress images, annotated using instance segmentation.

The dataset covers 7 pavement distress categories, namely cracks, potholes, sealed cracks, patches, alligator cracks, facility covers, and expansion joints. A total of 3,596 pavement distress instances are provided, each annotated with a mask that tightly follows the damage boundary.

The following image shows examples of all seven categories of pavement distress.

示例图片

Data Collection

The dataset was acquired using a vehicle‑mounted pavement distress data collection system. The system captures wide‑angle images with a dashboard camera and high‑resolution images with a rear‑view camera, enabling multi‑angle high‑quality image acquisition for a comprehensive dataset.

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