YOLOv8-Vehicle-Damage-Detector and YOLO11m-Car-Damage-Detector

These are competitors as both are custom YOLO models for detecting and classifying car body damage, with A using YOLOv8 and B using YOLO11m, offering different trade-offs in model architecture and reported accuracy for similar tasks.

Maintenance 13/25
Adoption 5/25
Maturity 9/25
Community 11/25
Maintenance 2/25
Adoption 7/25
Maturity 9/25
Community 10/25
Stars: 13
Forks: 2
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 27
Forks: 3
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
No Package No Dependents
Stale 6m No Package No Dependents

About YOLOv8-Vehicle-Damage-Detector

NabilNawa/YOLOv8-Vehicle-Damage-Detector

Custom YOLOv8 model for detecting and classifying car body damage—optimized for fast inference and assistive use in inspection and service workflows like BMW pre-loaner inspections.

About YOLO11m-Car-Damage-Detector

ReverendBayes/YOLO11m-Car-Damage-Detector

Custom YOLO11m model for detecting and classifying car body damage (99% shattered glass, 96% flat tire detection accuracy)—optimized for high-capacity inference and assistive use in inspection and service workflows like BMW pre-loaner inspections.

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