Case Study: Car Damage Assessment

We trained a neural network to identify the extent of damage in vehicles that were involved in traffic accidents.

60%
or

Evaluating your Images

You can find below a list of your uploaded pictures, ranked by assessed vehicle damage severity, as per model screening. The image on top is the most likely to represent a vehicle with considerable damage. All the way to the image at the bottom of the list, which is the least likely to contain a heavily damaged vehicle. Try uploading more pictures, and see the list updating accordingly!

File Type:

Processing Time:

Damage Detected?

Damage Location:

Damage Severity: