Universe

Car Damage Detection Computer Vision Model

byratchakritTask:
Object Detection
License:CC BY 4.0

How to use the Car Damage Detection Detection API

Try This Model

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Or try a test image 

Code Snippets

from inference_sdk import InferenceHTTPClient

CLIENT = InferenceHTTPClient(
    api_url="https://serverless.roboflow.com",
    api_key="API_KEY"
)

result = CLIENT.infer("YOUR_IMAGE.jpg", model_id="car-damage-detection-t0g92-qttmv/2")
Give your agent everything it needs

Or, Use Free Door, Light and Bonnet Detection API

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Code
pip install inference-sdk
# 1. Import the library
from inference_sdk import InferenceHTTPClient

# 2. Connect to your workspace
client = InferenceHTTPClient(
  api_url="https://serverless.roboflow.com",
  api_key="API_KEY"
)

# 3. Run your workflow on an image
result = client.run_workflow(
  workspace_name="<YOUR_WORKSPACE>",
  workflow_id="<YOUR_WORKFLOW_ID>",
  images={
    "image": "YOUR_IMAGE.jpg"  # Path to your image file
  },
  parameters={
    "classes": "Door, Light, Bonnet, Bumper, Dickey"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Run on custom image

Drop an image here or click to upload

Detecting classes:
Or try a test image 
See all 3.2k imagesCar Damage Detection Damaged-parts sample showing Bumper, Door, FenderCar Damage Detection Damaged-parts sample showing BumperCar Damage Detection Damaged-parts sample showing DoorCar Damage Detection Damaged-parts sample showing BumperCar Damage Detection Damaged-parts sample showing Bonnet, Bumper, LightCar Damage Detection Damaged-parts sample showing BumperCar Damage Detection Damaged-parts sample showing Bumper, FenderCar Damage Detection Damaged-parts sample showing Door, FenderCar Damage Detection Damaged-parts sample showing LightCar Damage Detection Damaged-parts sample showing Bumper, FenderCar Damage Detection Damaged-parts sample showing BumperCar Damage Detection Damaged-parts sample showing Door

About Car Damage Detection Model

Here are a few use cases for this project:

  1. Insurance Claims Processing: This model could be used by insurance companies to automate the process of accident reports and insurance claims. Users could submit pictures of their damaged cars, and the model would help identify the damaged parts, thus speeding up the claims-processing time.

  2. Auto Repair Estimates: Auto repair shops could use the model to provide online estimates for car repairs. Customers could upload images of their damaged cars, and the model could identify the damage, aiding in determining the cost of repair.

  3. Car Resale Platforms: Online platforms for buying and selling used cars could implement this model. It would help in assessing the condition of cars being sold, providing a more accurate value and informing potential buyers about any damage.

  4. Automatic Vehicle Inspection: The model could be deployed in vehicle inspection stations. It could help automatically identify any damage, saving time and increasing the efficiency of inspection processes.

  5. Parking Lot Monitoring: The model could be integrated into security cameras at parking lots. It would aid in detecting any damage done to parked cars, helping to identify instances of collisions or vandalism swiftly.

Cite This Project

LicenseCC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ car-damage-detection-t0g92-qttmv_dataset,
  title = { Car Damage Detection Dataset },
  type = { Open Source Dataset },
  author = { ratchakrit },
  howpublished = { \url{ https://universe.roboflow.com/ratchakrit/car-damage-detection-t0g92-qttmv } },
  url = { https://universe.roboflow.com/ratchakrit/car-damage-detection-t0g92-qttmv },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2025 },
  month = { may },
  note = { visited on 2026-07-29 },
}

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