Our team successfully built an extensive dataset of car images showcasing diverse types of damage. This dataset is now aiding groundbreaking advancements in AI models for insurance evaluations, repair cost calculations, and accident analysis.
We undertook a comprehensive project to gather images of cars with varying damage levels. Our collection includes everything from minor scratches to completely wrecked vehicles, captured under different environmental and lighting conditions. Each image is meticulously annotated to detail the damage type and severity.
Automated Damage Detection Verification: Used for initial consistency checks.
Peer Review: Annotations were double-checked for accuracy.
Inter-annotator Agreement: Regular re-annotation for consistency among annotators.
Damaged Car Image Dataset marks a significant stride in the automotive insurance and repair sectors. By providing a rich, contextually diverse view of car damages, we empower AI models for more precise assessments, streamlining insurance claims and repair processes.
To get a detailed estimation of requirements please reach us.
