10,000+ Car damage images with annotation | Car insurance & inspection | Global coverage with custom annotations

We collect images of Damaged cars from around the world and create a custom annotations on those images for our customers. Annotations can be customized as per requirement, both Polygon annotation and Bounding box annotations are possible. The collection can also be customized with the desired country of origin, color, model, and Damage types. Customers can order images from a single car from 1 to 8 angles. The dataset consists of images in JPEG and PNG formats. A curated dataset of damaged cars having dents, scratches, bends, cracks, and totaled cars. The dataset has proven to be suitable for training Artificial Intelligence algorithms to detect type damages in a car by analyzing a picture. The model developed with this dataset is highly sought after in the Insurance industry.本数据集采集自全球各地的受损汽车图像，并可为客户针对这些图像提供定制化标注服务。标注内容可根据客户需求灵活定制，支持多边形标注（Polygon annotation）与边界框标注（Bounding box annotation）两种形式。数据集还可根据客户需求定制筛选条件，例如指定车辆来源国家、颜色、车型以及损伤类型。客户可订购单台车辆的1至8个不同拍摄角度的图像。本数据集采用JPEG与PNG两种图像格式，为精选的受损汽车图像数据集，涵盖凹痕、划痕、弯折、裂纹以及完全报废的各类受损车辆图像。经实践验证，本数据集适用于训练人工智能（Artificial Intelligence）算法，以通过图像分析识别车辆的损伤类型。基于本数据集训练得到的模型在保险行业拥有极高的应用需求与市场认可度。

搜集汇总

背景与挑战

背景概述

该数据集包含全球范围内10,000多张带定制标注的汽车损伤图像，支持多边形和边界框标注，可按需筛选车辆属性。涵盖多种损伤类型，适用于训练AI检测模型，尤其在保险行业有重要应用价值。