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数据集格式：Pascal VOC格式+YOLO格式(不包含分割路径的txt文件，仅仅包含jpg图片以及对应的VOC格式xml文件和yolo格式txt文件)

图片数量(jpg文件个数)：7802

标注数量(xml文件个数)：7802

标注数量(txt文件个数)：7802

标注类别数：31

所在仓库：firc-dataset

标注类别名称(注意yolo格式类别顺序不和这个对应，而以labels文件夹classes.txt为准):["Front-Windscreen-Damage","Headlight-Damage","Major-Rear-Bumper-Dent","Rear-windscreen-Damage","RunningBoard-Dent","Sidemirror-Damage","Signlight-Damage","Taillight-Damage","bonnet-dent","damaged","damaged-door","damaged-front-bumper","damaged-head-light","damaged-hood","damaged-rear-bumper","damaged-rear-window","damaged-tail-light","damaged-trunk","damaged-window","damaged-windscreen","dent","dent-or-scratch","doorouter-dent","fender-dent","front-bumper-dent","medium-Bodypanel-Dent","pillar-dent","quaterpanel-dent","rear-bumper-dent","roof-dent","scratch"]

每个类别标注的框数：

Front-Windscreen-Damage (前挡风玻璃损伤) 框数 = 97

Headlight-Damage (前大灯损伤) 框数 = 215

Major-Rear-Bumper-Dent (后保险杠严重凹陷) 框数 = 1

Rear-windscreen-Damage (后挡风玻璃损伤) 框数 = 173

RunningBoard-Dent (踏板凹陷) 框数 = 154

Sidemirror-Damage (侧视镜损伤) 框数 = 138

Signlight-Damage (示宽灯损伤) 框数 = 43

Taillight-Damage (尾灯损伤) 框数 = 165

bonnet-dent (引擎盖凹陷) 框数 = 396

damaged (已损坏) 框数 = 2500

damaged-door (车门损坏) 框数 = 142

damaged-front-bumper (前保险杠损坏) 框数 = 153

damaged-head-light (前大灯损坏) 框数 = 221

damaged-hood (引擎盖损坏) 框数 = 139

damaged-rear-bumper (后保险杠损坏) 框数 = 29

damaged-rear-window (后窗损坏) 框数 = 93

damaged-tail-light (尾灯损坏) 框数 = 136

damaged-trunk (行李箱损坏) 框数 = 87

damaged-window (车窗损坏) 框数 = 136

damaged-windscreen (挡风玻璃损坏) 框数 = 200

dent (凹陷) 框数 = 484

dent-or-scratch (凹陷或划痕) 框数 = 503

doorouter-dent (车门外侧凹陷) 框数 = 541

fender-dent (翼子板凹陷) 框数 = 331

front-bumper-dent (前保险杠凹陷) 框数 = 723

medium-Bodypanel-Dent (车身板件中度凹陷) 框数 = 3

pillar-dent (立柱凹陷) 框数 = 27

quaterpanel-dent (后翼子板凹陷) 框数 = 295

rear-bumper-dent (后保险杠凹陷) 框数 = 411

roof-dent (车顶凹陷) 框数 = 160

scratch (划痕) 框数 = 1413

总框数：10109

使用标注工具：labelImg

图片分辨率：640x640

数据集是否有增强：有，大约一半都是增强图片

标注规则：对类别进行画矩形框

重要说明：暂无

特别声明：本数据集不对训练的模型或者权重文件精度作任何保证

图片预览：

标注例子：