Tire Surface Inspection Dataset
V1.0Latest Update: | 2026-01-14 | Samples: | 15000 records |
Samples: | 15000 records | ||
File Size: | 3.5G | Format: | JPG/PNG/JSON |
Format: | JPG/PNG/JSON | ||
Data Domain: | Image | Holder: |  MOBIUSI INC |
Holder: | MOBIUSI INC | ||
Industry Scope: | Tire Life Assessment | Automatic Tire Change Alerts | Tire Safety Warnings | ||
Applications: | Object Detection | Image Classification | ||
Brief Introduction
The Tire Surface Inspection Dataset is developed to address the growing need for automated tire quality assessment in the automotive industry. With the increasing number of vehicles on the road, ensuring tire safety has become a critical challenge. Current manual inspection methods are time-consuming and prone to human error, leading to potential safety risks. This dataset aims to provide high-quality images for training machine learning models to automate tire inspection processes. Data is collected using high-resolution cameras in controlled environments, ensuring consistency. Quality control measures include multiple rounds of annotation and expert reviews to maintain high accuracy. The dataset is stored in JPG format, organized by defect types and severity levels to facilitate easy access and analysis.
Sample Examples
| Image | File Name | Resolution | Tire Type | Tire Condition | Defect Type | Defect Location | Defect Size | Surface Texture | Target Location |
|---|---|---|---|---|---|---|---|---|---|
 | 0b97a4e7a077555d11b88d32490d7a8e.jpg | 1276*1616 | passenger car tire | worn tire | no noticeable defect | none | none | relatively smooth | center |
 | 54355e9ca10b4e2b670a564176088702.jpg | 1276*1616 | passenger car tire | worn tire | crack | tread | approximately 50 square millimeters | rough | center right |
 | 57674ebb201b41df1486ffce72a4d574.jpg | 1276*1616 | Car tire | Worn tire | Crack | Tread | Large | Rough | Left side |
 | 7ac9aa6171b47fc65ea470e31cc0410d.jpg | 1276*1616 | Car tire | Worn tire | No obvious defects | None | None | Some wear | Center |
 | 755a3f82377bd0b16dbe6d8860cd2f45.jpg | 1276*1616 | Car tire | Worn tire | Crack | Tread | Medium size | Rough | Right of center |
Data Structure
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| tire_type | string | Types of tires, such as passenger car tires, truck tires, etc. |
| tire_condition | string | The surface condition of the tire, such as new, worn, etc. |
| defect_type | string | Types of defects on the tire surface, such as cracks, damage, bubbles, etc. |
| defect_position | string | Specific location of defects on the tire surface, such as side, tread, etc. |
| defect_size | float | The size or area of the defect, usually measured in square millimeters. |
| surface_texture | string | Texture characteristics of the tire surface, such as smooth, rough, etc. |
| object_position | string | The position of the tire object in the image, such as top left, center, bottom right, etc. |
Compliance Statement
| Item | Content |
|---|---|
| Authorization Type | CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike) |
| Commercial Use | Requires exclusive subscription or authorization contract (monthly or per-invocation charging) |
| Privacy and Anonymization | No PII, no real company names, simulated scenarios follow industry standards |
| Compliance System | Compliant with China’s Data Security Law / EU GDPR / supports enterprise data access logs |
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