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.

CoCG道路状况 - 定向边界框（CoCGRCOBB）是利用定向边界框注释对车载散热格栅道路状况 - 检测数据集（CoCGRCDD）的扩展。在CoCGRCDD数据集上进行的研宄表明，所测试的对象检测模型在横纵向裂缝之间泛化能力不足，因此决定采用定向边界框将C01和C02两个类别合并为一个单一的类别C12。

该数据集包含来自波兰道路路面视频记录的帧。数据由放置在车辆散热格栅上的USB Logitech Brio摄像头获取。注释过程使用CVAT软件进行。以类别和定向边界框形式的注释以MS COCO格式（OBB_annotations.）保存。数据集包含以下类型的道路路面缺陷：

• C12 - 单一裂缝及材料结构在任何方向的显著不连续性；
• C03 - 在其区域内发生的鳄鱼裂纹和表面层剥离；
• C04 - 道路表面的孔洞和更大的洞穴侵蚀（如裂缝区域）。

数据集由2110帧视频素材组成，其中325帧没有道路表面缺陷，这使我们能够基于假阳性的出现来检验模型的预测质量。

数据集中每一帧（annotations/additional_info.）都进行了额外的注释，包括阴影、涂鸦、异物（例如，不应出现在道路上的物体，如沙子、叶子等）、路径磨削、颗粒或结合剂缺陷、检查井的出现。

* 本数据集仅包含包含在CoCG道路状况 - 检测数据集（CoCGRCDD）中的图像的注释 - https://data.mendeley.com/datasets/snyyfknw56/1.