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Pothole Detection Video Dataset – 1,200 Road Scenes for Autonomous Driving

Potholes in road

pothole detection dataset

road pothole video dataset

pothole detection dataset

road damage dataset

pothole video dataset

autonomous driving dataset

dashcam road data

road surface anomaly detection

360 dashcam dataset

high-resolution road video

traffic infrastructure dataset

computer vision pothole

This Pothole Detection Dataset consists of 1,200 high-resolution videos (2,560×1,440), each lasting between 7 and 15 seconds. The footage was recorded using a 360° automotive dashcam during daytime across various real-world road conditions. The dataset captures a wide range of pothole scenarios and environments, providing high diversity for robust model training.It is ideal for computer vision tasks such as pothole detection, road damage recognition, autonomous vehicle perception, and infrastructure condition monitoring. The dataset offers valuable support for training AI models in real-world road surface anomaly detection.

This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.

Specifications

Specifications

Data size

1,200 videos, the videos last between 7 and 15 seconds

Collecting environment

potholed road

Data diversity

including different potholed roads, multiple scenes

Device

360 automobile data recorder, the videos resolution is 2,560*1,440

Photographic angle

eye-level angle

Collecting time

day

Data format

the video data format is .mp4

Annotation content

potholed road data under different road scenarios were collected

Accuracy rate

according to the collection content, the collecting accuracy is over 97%

Sample

Sample

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3D High-Fidelity Synthetic Data - DMS

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