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license: apache-2.0
language:
- en
base_model:
- Ultralytics/YOLO26
pipeline_tag: image-segmentation
---
# Car Damage Type Model
This repository contains the Car Damage Type Detection model. It uses a YOLO architecture to identify and classify specific types of physical damage on vehicles.
## Model Details
- **Model type:** Object Detection and Segmentation (YOLOv26 via Ultralytics)
- **Task:** Vehicle Damage Type Detection
## Intended Use
This model is intended for detecting and classifying physical damage on vehicles in images or video frames. It can be used as a standalone detector or integrated into a larger pipeline.
## Detected Classes
The model detects and localizes the following 6 classes of damage:
- `0`: **crack** - Cracks on car body panels or lights.
- `1`: **dent** - Indentations or structural dents.
- `2`: **glass shatter** - Shattered or completely broken glass (windshields, windows).
- `3`: **lamp broken** - Broken headlights or tail lights.
- `4`: **scratch** - Paint scratches or surface abrasions.
- `5`: **tire flat** - Deflated or flat tires.
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