metadata
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.
