CoCG Road Condition - Oriented Bounding Boxes (CoCGRCOBB)

CoCG Road Condition - Oriented Bounding Boxes (CoCGRCOBB) is an extension of the Camera on Car Grille Road Condition - Detection Dataset (CoCGRCDD) using Oriented Bounding Boxes annotation. Research conducted on the CoCGRCDD dataset showed that the object detection models tested did not generalize transverse and longitudinal cracks between each other very well, and it was therefore decided to use Oriented Bounding Boxes to combine the two classes C01 and C02 into a single class C12.

This data set contains frames from video recordings of road pavements in Poland. The data was obtained from a USB Logitech Brio camera placed on the radiator grille of the car. The annotation process was carried out using CVAT software. Annotations in the form of classes and oriented bounding boxes was saved in MS COCO format (OBB_annotations.json). The dataset contains the following types of road pavement defects:
• C12 - single crack and pronounced discontinuity of the material structure in any orientation;
• C03 - Alligator cracks and delamination of the surface layer occurring in their area;
• C04 - holes on the road surface and larger cavities erosion (such as in the area of cracks).

The set consists of 2110 frames from the footage, of which 325 have no road surface defects, which allows us to check the occurrence of the model's prediction quality based on the occurrence of false positives.
Each frame in the dataset is additionally annotated (annotations/additional_info.json) with the occurrence of: shadow, painting, outlandish (object that should not be on the road e.g. sand, leaves, etc.), path milling, grain or binder defects, manhole.

* The dataset presented here contains only annotations for images that are included in the CoCG Road Condition - Detection Dataset (CoCGRCDD) - https://data.mendeley.com/datasets/snyyfknw56/1.

面向道路状况的定向边界框数据集（CoCG Road Condition - Oriented Bounding Boxes，简称CoCGRCOBB）是基于车载格栅式道路状况检测数据集（Camera on Car Grille Road Condition - Detection Dataset，简称CoCGRCDD）扩展而来的、采用定向边界框（Oriented Bounding Boxes）标注的数据集。针对CoCGRCDD数据集开展的研究表明，所测试的目标检测模型无法很好地在横向裂缝与纵向裂缝之间实现泛化，因此决定采用定向边界框将C01、C02两个类别合并为单一类别C12。
本数据集包含取自波兰道路路面的视频帧片段。数据采集自安装于汽车散热器格栅上的罗技（Logitech）Brio USB摄像头。标注工作采用CVAT软件完成，以类别及定向边界框形式存在的标注文件以MS COCO格式存储（文件名为"OBB_annotations.json"）。本数据集涵盖以下几类道路路面缺陷：
• C12：任意取向的单条裂缝及材料结构出现明显断裂的缺陷；
• C03：龟裂（Alligator cracks）及该区域内表层发生的层离缺陷；
• C04：路面孔洞及较大的空腔侵蚀缺陷（如裂缝周边区域出现的此类缺陷）。
本数据集共包含2110段视频帧，其中325帧未出现路面缺陷，可用于基于假阳性样本的出现情况验证模型的预测质量。
本数据集内的每一帧还附带了额外标注（存储于"annotations/additional_info.json"文件中），标注内容包括：阴影、涂装痕迹、异物（即本不应出现在路面上的物体，如沙土、落叶等）、路面铣刨痕迹、集料或胶结料缺陷以及检查井。
* 本数据集仅包含CoCG道路状况检测数据集（CoCG Road Condition - Detection Dataset，简称CoCGRCDD，链接：https://data.mendeley.com/datasets/snyyfknw56/1）所收录图像的标注文件。