200,000+ 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.

本数据集采集了来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。数据集还可按需求定制图像的来源国家、车辆颜色、车型以及受损类型。客户可订购单台车辆的1至8个拍摄角度的图像。本数据集的图像格式包含JPEG与PNG两种。该数据集为精选的受损汽车图像集，涵盖凹陷、划痕、弯折、裂纹以及全损车辆等各类受损场景。经实践验证，本数据集适用于训练人工智能（Artificial Intelligence）算法，以通过图像分析精准检测车辆的受损类型。基于本数据集开发的模型在保险行业拥有极高的应用需求。

搜集汇总

背景与挑战

背景概述

该数据集包含20余万张全球采集的汽车损伤图像，提供多边形和矩形框的定制标注服务，支持按国家、车型、损伤类型等多维度筛选。其涵盖刮痕、凹陷等典型损伤的JPEG/PNG格式图像，专为保险业AI损伤检测模型训练优化。