2026-10-14T08:45:37Z https://data.mendeley.com/oai

oai:data.mendeley.com/tp95cdvgm8.1 2023-03-02T14:07:57Z

Dib, Jihad An Annotated Water-Filled, and Dry Potholes Dataset for Deep Learning Applications Mendeley Data 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. Image Processing Object Detection Object Recognition Image Classification Convolutional Neural Network YOLOv5 Semantic Neural Network Sirlantzis, Konstantinos Howells, Gareth Dataset doi:10.17632/tp95cdvgm8.1 oai:data.mendeley.com/tp95cdvgm8.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/tp95cdvgm8 2023-03-02T14:07:57Z