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46,498 Images – Vehicle Damage Detection Dataset for AI & Insurance Models
vehicle damage dataset
car accident image dataset
vehicle inspection AI data
car damage detection dataset
automotive insurance dataset
vehicle scratch and dent dataset
car crash training data
This dataset contains 46,498 vehicle damage images, data diversity includes multiple car types, diverse outdoor scenes, multiple collecting angles, different photographic distances and different resolutions. The types of damage include bumps, scratches, dents, paint loss and other damages. The locations of car damage include the hood, headlights, doors, body panels, and trunk. This dataset can be used for AI-powered vehicle inspection, insurance claim automation, car accident analysis, and computer vision training for damage detection.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Data size
46,498 images, each image contains only one damaged car
Collecting environment
outdoor scenes (including street intersections, urban and rural roads, urban traffic crossings, etc.)
Data diversity
including multiple vehicle types, multiple outdoor scenes, multiple types of vehicle damage, multiple collecting angles, different photographic distances, and different resolutions
including car, SUV, MPV, minibus, small trucks, big trucks, etc.
Vehicle Damage Distribution
types of vehicle damage: including bump, scratch, paint loss and other vehicle damage; locations of vehicle damage: including the front hood, left and right headlights, door, body and trunk of the vehicle
Data format
the image data format is .jpg or .png, the annotation file format is .metadata
Collecting content
collecting the images of damaged part of vehicle
Annotation content
collecting location, scenes, season, weather, time, device, image data format and image resolution were labeled in the metadata
Accuracy
the accuracy of labels of collecting location, scenes, season, weather, time, device, image data format, image resolution is not less than 97%
Specifications
Sample
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