| --- |
| license: apache-2.0 |
| language: |
| - en |
| base_model: |
| - Ultralytics/YOLO26 |
| pipeline_tag: image-segmentation |
| --- |
| |
| # Car Damage Type Model |
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| 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. |
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| ## Model Details |
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| - **Model type:** Object Detection and Segmentation (YOLOv26 via Ultralytics) |
| - **Task:** Vehicle Damage Type Detection |
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| ## Intended Use |
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| 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. |
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| ## Detected Classes |
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| 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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