Download Report IEEE DataPort : PothRGBD: RGB and Depth Images of Potholes - 2026
BMP, PNG by Mustafa Yurdakul, Şakir Taşdemir
Information
Format: BMP, PNG Publisher: IEEE DataPort Publication Date of the Electronic Edition: 02/20/2026
?
ISBN: 10.21227/z8eq-sf60
$15
$3Discount Coupon
Delivery time: Instant
Description
???? Dataset Description PothRGBD: RGB and Depth Images of Potholes is a publicly available dataset containing 1,000 paired RGB and depth images of real-world potholes, collected using the Intel RealSense D415 depth camera. Each image is annotated for YOLOv8-style segmentation, enabling accurate detection and measurement of pothole features such as perimeter and depth.The dataset was designed to facilitate research in:Deep learning-based pothole detectionDepth-aware segmentation and measurement tasksReal-time embedded systems in intelligent transportationModel benchmarking for RGB-D image processingKey Features:1,000 RGB-D image pairs (640×480 resolution)YOLO-compatible segmentation masksLabeled using RoboflowCollected under real-road conditionsSuitable for training, validation, and benchmarking of detection models???? Citation Request If you use this dataset in your research or application, please cite the following paper:Yurdakul, M., & Taşdemir, Ş. An Enhanced YOLOv8 Model for Real-Time and Accurate Pothole Detection and Measurement, 2025. arXiv: https://arxiv.org/abs/2505.04207
$15
$3Discount Coupon
Delivery time: Instant