Spring Recognition and Detection Dataset
#Object Detection #Image Classification #Industrial Inspection #Quality Control
- 5000 records
- 1.2G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-03-20
AI Analysis & Value Prop
The Spring Recognition and Detection Dataset addresses the critical challenges in quality control of precision mechanical assemblies in the industrial sector. Currently, industries face issues with manual inspection methods, which are prone to errors and inconsistencies. Existing automated solutions often lack the robustness required to accurately detect defects in complex mechanical components like springs. This dataset aims to provide high-quality images for training machine learning models that can reliably identify and classify springs in various conditions. The dataset comprises images captured in controlled environments using high-resolution cameras, ensuring clarity and detail. Quality control measures include multi-round annotations, consistency checks among annotators, and expert reviews to ensure labeling accuracy. The data is stored in JPG format, organized by image ID, allowing for easy access and processing.
Dataset Insights
Sample Examples
ec958dd7**.png|1280*1517|2.17 MB
96ef9ce2**.png|1280*1546|2.84 MB
e6667858**.png|1280*1078|1.71 MB
a94a4926**.png|1280*1544|1.30 MB
eaf32a60**.png|1280*1633|2.79 MB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| spring_type | string | Identify the type of spring based on shape or usage, such as compression spring, tension spring, etc. |
| spring_color | string | The color of the spring in the image |
| surface_condition | string | Description of the surface condition of the spring, such as smooth or rusted |
| spring_material | string | The material of the spring determined by visual characteristics, such as steel or stainless steel |
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 Spring Identification and Detection Dataset?
- The Spring Identification and Detection Dataset is an image dataset focused on the recognition and detection of springs in the industrial sector. It is primarily used for object detection tasks and helps improve quality control in industrial production.
- In what areas can this dataset be applied?
- The Spring Identification and Detection Dataset can be applied in quality inspection, monitoring of automated production lines, and automatic identification and localization of defective springs within the industrial sector.
- What are the advantages of using the Spring Identification and Detection Dataset?
- Using this dataset can enhance the efficiency of automatic detection in spring production processes, reduce human inspection errors, ensure product quality, and save labor costs for enterprises.
- What types of image data are included in the Spring Identification and Detection Dataset?
- This dataset includes images of various types and shapes of springs captured in different environments and angles, aiming to enhance the model's generalization ability in practical applications.
- How does this dataset contribute to quality control in the industrial sector?
- By precisely identifying and detecting springs, the dataset improves detection accuracy, quickly pinpoints potential issues, thereby enhancing overall production quality and efficiency.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Spring Recognition and Detection Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/04818b48d057e3add694805222328c83},
urldate={2025-08-28},
keywords={spring detection dataset,industrial quality control,image dataset for machine learning,precision mechanics dataset},
version={1.0}
}Using this in research? Please cite us.
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