An Annotated Water-Filled, and Dry Potholes Dataset for Deep Learning Applications

Published: 2 March 2023| Version 1 | DOI: 10.17632/tp95cdvgm8.1
Contributors:
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Description

Dataset Content: - IMG -> Dataset Images. - XML -> Pascal VOC XML Format Annotations. - TXT -> YOLO TXT Format Annotations. - Potholes.zip -> Dataset images and annotation files in compressed format. Video: - Dashcam-Front.mp4 -> A short outdoor front car dashcam video showing the coordinates and car speed to assess the frame rate and accuracy of the detection (faces and plate numbers blurred for privacy). - Dashcam-Rear.mp4 -> A short outdoor rear car dashcam video showing the coordinates and car speed to assess the frame rate and accuracy of the detection (faces and plate numbers blurred for privacy). Note: train.txt and valid.txt files are to be generated based on the location of the dataset files within the training environment.

Files

Institutions

  • University of Kent

Categories

Image Processing, Object Detection, Object Recognition, Image Classification, Convolutional Neural Network, YOLOv5, Semantic Neural Network

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