Vehicle Damage Detection Model
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DAMAGE iD
DAMAGE iiD iis an app and web-based Reviiew Portall for rentall agenciies, DSPs and 
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Importance of Vehicle Damage 
Detection Model
Several industries have benefited from 
artificial intelligence's versatility and 
sophistication, and one new way this 
cutting-edge technology is being used is to 
identify vehicle damage. Making an 
automobile damage claim requires a lot of 
time.
Vehicle Damage Detection: What Is It?
In the automobile industry, mishaps and minor vehicle 
damage are extremely prevalent. Problems, however, only 
appear after an insurance claim. The Government of 
Michigan's 2021 Fraud Investigation Unit Annual Report 
states that fraudulent auto injury claims added over $7.7 
billion in extra payments to auto injury claims. Top auto 
insurers had annual premium leakage losses of up to $29 
billion.
How to develop ML models that can identify car damage?
You require a diversified dataset of precisely labeled photos and videos in order to train ML models to recognize 
car damage. The machine learning model can't identify damages if the data isn't extremely accurate and 
accurately categorized. Data quality must be checked by human-in-the-loop annotators and annotation tools.
OPTION Determining whether there is 
1 harm
OPTION
2 Locating the damage on the vehicle by determining its precise location
OPTION
Determining the extent of the damage based 3
on its kind, location, and necessity for 
repairs
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