Tire Bolt/Nut Detection Dataset
#Object Detection #Image Classification #Vehicle Manufacturing #After-sales Maintenance #Quality Inspection
- 25000 records
- 3.2G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-11-04
AI Analysis & Value Prop
In the automotive industry, ensuring the correct assembly of fasteners is critical for safety and performance. However, many manufacturers face challenges in accurately detecting and verifying the installation of tire bolts and nuts during production and maintenance processes. Existing solutions often rely on manual inspections, which can lead to human errors and inconsistencies. The Tire Bolt/Nut Detection Dataset aims to address these challenges by providing a robust set of labeled images for training machine learning models that automate the detection of these components. The dataset consists of images captured in controlled environments with various lighting conditions and angles to ensure diversity. To maintain high data quality, we employed multi-round annotations, consistency checks, and expert reviews at each stage. The images are stored in JPG format and organized in folders by categories.
Dataset Insights
Sample Examples
9492abc8**.jpg|1280*1236|113.17 KB
5ead48d7**.png|1270*1515|1.56 MB
6fa4b013**.png|1270*1515|1.24 MB
ece60f38**.jpg|1270*1515|139.69 KB
b48801de**.jpg|1270*1515|160.79 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| object_type | string | Detect the type of target, such as screws or nuts. |
| surface_condition | string | The surface condition of screws or nuts, such as rust, dirt, etc. |
Compliance Statement
| Authorization Type | Proprietary - Commercial AI Training License (No Redistribution) |
| 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 |
Frequently Asked Questions
- What is the Tire Screws/Nuts Detection Dataset?
- The Tire Screws/Nuts Detection Dataset is an image dataset used for identifying and detecting tire screws and nuts, applicable for industrial quality control and maintenance.
- How is this dataset used in the industrial sector?
- In the industrial sector, this dataset can be used to train machine learning models for automating the detection and assessment of the installation quality of tire screws and nuts, thereby improving production efficiency and product quality.
- What kind of annotations are included in the dataset?
- The dataset includes annotations necessary for object detection tasks, such as the positions and bounding boxes of screws and nuts in the images.
- What problems can be solved using this dataset?
- This dataset can automate the detection of defects in tire screws and nuts, thereby enhancing detection accuracy and efficiency, and reducing the workload of manual inspection.
- What are the typical applications of the dataset?
- Typical applications include tire assembly lines in automotive manufacturing and repair, and production stages requiring quality monitoring of tire components.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Tire Bolt/Nut Detection Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/f389d9412623f20ceb719a1b47a2ae82?dataset_scene_id=2},
urldate={2025-08-28},
keywords={Tire Detection Dataset,Bolt Nut Inspection,Industrial Image Dataset,Automotive Quality Control},
version={1.0}
}Using this in research? Please cite us.
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