2026-10-13T07:25:43Z https://data.mendeley.com/oai

oai:data.mendeley.com/ffwgjdfn86.1 2023-07-06T19:43:44Z

Toledo, Rafael Road Traversing Knowledge for Quality Classification Mendeley Data This dataset consists of 6.297 labeled images from Brazil's inner country roads captured by a low-cost camera (HP Webcam HD-4110) attached to a moving vehicle. The dataset presents three quality levels classes (good, regular, and bad) for each surface kind: asphalt, paved and unpaved. The only exception is the unpaved surface that does not contain the class "good" due to its poor nature. The number of images by surface-quality class is: asphalt-good: 1978 asphalt-regular: 839 asphalt-bad: 464 paved-good: 1179 paved-regular: 324 paved-bad: 124 unpaved_bad: 593 unpaved-regular: 796 All images were collected during the daytime in good weather conditions. The frames present lighting variations, shadows, and solar glare. Moreover, it is also noticed intra-class variations, such as asphalt surfaces with different color intensities, e.g., older asphalts are usually lighter than the new ones; paved surfaces formed by different patterns, e.g., cobblestone and concrete; and unpaved surfaces, which are naturally uneven. The directory is organized by subdirectories named with the "surface_quality". Image Classification Emerging Country Road Road Safety von Wangenheim, Aldo Rateke, Thiago Justen, Karla Dataset doi:10.17632/ffwgjdfn86.1 oai:data.mendeley.com/ffwgjdfn86.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/ffwgjdfn86 2023-07-06T19:43:44Z