Vehicle dent detection: Datasets & Models
Computer vision workflow that automatically locates and classifies dents on vehicle body panels from images. Built for automotive inspection, insurance claims, and rental fleet condition checks.
Vehicle dent detection
This vehicle dent detection workflow uses object detection to find and mark dents, dings, and surface deformations on car body panels such as doors, hoods, fenders, and bumpers. It takes standard photos or video frames of a vehicle exterior as input and returns bounding boxes around each detected dent, along with its location and count.
Try it out
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Why automate vehicle dent detection
Manual dent inspection is slow, subjective, and inconsistent between inspectors, which leads to disputed insurance claims, missed damage on returned rental and lease vehicles, and bottlenecks in body shop intake. Automating vehicle dent detection with computer vision produces a repeatable, documented assessment from the same set of photos every time, reducing human error and speeding up claims and check-in workflows. For automotive teams handling high vehicle throughput, this means damage can be logged the moment a car is photographed rather than waiting for an available appraiser.
Key benefits
Automated dent detection delivers faster, more consistent vehicle inspections and creates a photographic audit trail for every assessment. It integrates with existing intake cameras, mobile apps, and drive-through imaging tunnels, so teams can deploy without new hardware. The approach scales from a single body shop to nationwide rental and insurance operations processing thousands of vehicles.
How to use it
- Upload an image: Drop any photo into the widget above to try vehicle dent detection for free, right on this page.
- Preview instant results: The model detects dent, scratch, door panel, bumper, hood within seconds and returns an annotated image with structured predictions, so you can immediately see how well it works. Adjust the detection classes and re-run until the results fit your scenario.
- Like what you see?: With a free Roboflow account, you can deploy this workflow with the Serverless Cloud API, customize it in your workspace, or train RF-DETR on your own images for production accuracy.
- Get started for free: No code or training data required to begin: upload, review the results, and make it part of your stack in a single click.
Recommended model for vehicle dent detection
RF-DETR is state of the art for real-time object detection, instance segmentation, and keypoint detection, with higher accuracy and lower latency than comparable models, and it's Apache 2.0 licensed. When you're ready to build a production model for vehicle dent detection, fine-tune it on your own labeled images, then deploy to a Serverless Cloud API endpoint.
Not sure where to start?
Describe your Vehicle Dent Detection project to Roboflow Agent.