Damaged Car Image Dataset
Project Overview:
Objective
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.
Scope
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.
Sources
- Insurance claim photographs.
- Collaborations with body shops and auto repair centers.
- Partnership with law enforcement for accident scene images.
- A platform for users to submit their images.
Data Collection Metrics
- Total Damaged Car Images Collected: 350,000
- Minor Damages: 125,000
- Moderate Damages: 150,000
- Severe Damages: 50,000
- Total Wrecks: 25,000
Annotation Process
Stages
- Image Pre-processing: We standardized the brightness, contrast, and orientation.
- Damage Annotation: Our experts outlined damaged areas for precise identification.
- Damage Classification: Each damage was tagged, whether a dent, scratch, or shattered glass.
- Severity Rating: We rated the severity on a predefined scale.
- Validation: We employed both automated tools and manual peer reviews for accuracy.
Annotation Metrics
- Total Damage Annotations: 700,000
- Damage Classification Tags: 700,000
- Severity Ratings: 350,000
Quality Assurance
Stages
Automated Damage Detection Verification:Â Used for initial consistency checks.
Peer Review:Â Annotations were double-checked for accuracy.
Inter-annotator Agreement:Â Regular re-annotation for consistency among annotators.
QA Metrics
- Annotations Verified: 175,000
- Annotations Peer Reviewed: 105,000
- Inconsistencies Identified and Rectified: 10,500
Conclusion
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.
Quality Data Creation
Guaranteed TAT
ISO 9001:2015, ISO/IEC 27001:2013 Certified
HIPAA Compliance
GDPR Compliance
Compliance and Security
Let's Discuss your Data collection Requirement With Us
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