Airport

09

Object Detection

09 Computer Vision Project

Images

17 images
Explore Dataset

本数据集主要类别为:耐久性裂缝(Durability-cracking),需要进行所有类别病害的标记和检查。

任务:

1、标记:

  • 到Annotate模块,把annatating里(未标记)的图片标记完。
  • 标记的时候注意,对照规范,把每张图片里所有类型的病害都标记全。
  • 若确定检查过了,把名称改为“已标记检查”

2、检查 到Annotate模块,按顺序检查dataset里面未检查的图像集,检查内容:

  • 每张图片内,已有的标记类别是否正确;
  • 每张图片内,已有标记框是否合适(刚好包住病害,不大不小)
  • 每张图片内,是否还有其它未标记的病害,有的话,标记上
  • 如果有不确定的图片,可以发到图像标记群里提问。

3、损坏名称和对应标签

  • 纵/横/斜向裂缝——Crack
  • 角隅断裂——Corner-break
  • 破碎板或交叉裂缝——Shattered-slab-intersecting-cracks
  • 沉陷或错台——Settlement-or-faulting
  • 嵌缝料损——Joint-seal-damage
  • 接缝破碎——Joint-spalling
  • 唧泥和板底脱空——Pumping
  • 耐久性裂缝——Durability-cracking
  • 细微裂纹——Crazing
  • 坑洞——Pothole
  • 起皮——Scaling
  • 板角破碎——Corner-spalling
  • 小补丁——Small-patching
  • 大补丁——Big-patching

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            09-fmdzv_dataset,
                            title = { 09 Dataset },
                            type = { Open Source Dataset },
                            author = { Airport },
                            howpublished = { \url{ https://universe.roboflow.com/airport-j6ozu/09-fmdzv } },
                            url = { https://universe.roboflow.com/airport-j6ozu/09-fmdzv },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jul },
                            note = { visited on 2024-03-29 },
                            }
                        

Connect Your Model With Program Logic

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Source

Airport

Last Updated

2 years ago

Project Type

Object Detection

Subject

Durability-cracking

Views: 4

Views in previous 30 days: 0

Downloads: 0

Downloads in previous 30 days: 0

License

CC BY 4.0

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