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Car-Damage-Type-Segmentation
Danishali273/Car-Damage-Type-Segmentation
Car-Damage-Type-Segmentation is a image segmentation model from Danishali273. Use it for the image segmentation task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
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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Public
Updated Jul 19, 2026
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63.6 MB
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At a glance
- Task
- Image Segmentation
- License
- apache-2.0
- Access
- Public
- Created
- Jul 19, 2026
- Updated
- Jul 19, 2026
- SHA
- 12f084ad
Base models
Model card
From the Hugging Face model README
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.
- Task
- Image Segmentation
- License
- apache-2.0
- Languages
- en
- Created
- Jul 19, 2026
- Updated
- Jul 19, 2026