Tire Bolt/Nut Detection Dataset

#Object Detection #Image Classification #Vehicle Manufacturing #After-sales Maintenance #Quality Inspection
Records
25000 records
Size
3.2G
Format
JPG/PNG/JSON
Provider
MOBIUSI INCMOBIUSI INC
Updated
v1.02026-11-04
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.

Overview

Dataset Insights

Preview

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

Schema

Technical Specifications

file_namestringFile name
qualitystringResolution
object_typestringDetect the type of target, such as screws or nuts.
surface_conditionstringThe surface condition of screws or nuts, such as rust, dirt, etc.

Trust

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

FAQ

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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Cite 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}
}

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