Car Damage Type Segmentation

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.

train_val_curves

confusion_matrix_normalized

--- 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.