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2.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.
3.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.
Vehicle Damage Detection: What Is It?
4.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.
Determining whether there is harm
Locating the damage on the vehicle by determining its precise location
Determining the extent of the damage based on its kind, location, and necessity for repairs
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