Cable Clip/Tray Detection Dataset
#Object Detection #Image Classification #Electrical Wiring Safety Inspection #Missing Installation Judgment
- Records
- 5000 records
- Size
- 1.5G
- Format
- JPG/PNG/JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-04
AI Analysis & Value Prop
The current industrial sector faces challenges in ensuring electrical wiring safety, particularly in identifying missing installations and defects in cable clips and trays. Existing solutions often rely on manual inspections, which are time-consuming and prone to human error. This dataset aims to provide a robust solution by enabling automated detection of these components through machine learning techniques. The dataset comprises images collected from various industrial environments, captured using high-resolution cameras under controlled conditions. Quality control measures include multiple rounds of annotation, consistency checks, and expert reviews to ensure high accuracy. The data is stored in JPG format, organized into directories based on categories and labeled appropriately.
Overview
Dataset Insights
Preview
Sample Examples
b2cbd455**.png|2011*1500|2.34 MB
97a88eb9**.png|2268*1500|1.28 MB
a6855540**.png|1134*1500|2.01 MB
dada480e**.png|2064*1500|2.11 MB
7124b0d2**.png|2136*1500|4.95 MB
Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| object_type | string | The type of object detected in the image, such as cable clip or cable tray. |
| detect_condition | string | The description of external conditions during target detection, such as light intensity, occlusion situation. |
| background_type | string | The type of background in the image, such as industrial environment, indoor, outdoor, etc. |
| clamp_wear_level | string | Description of the wear degree of the cable clip. |
| channel_clogging | string | Description of blockages or foreign objects in the cable duct. |
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 Cable Clamp/Raceway Detection Dataset?
- The Cable Clamp/Raceway Detection Dataset is an image dataset used for detecting cable clamps and raceway, primarily utilized for electrical wiring safety inspections and omission determination.
- In which industries can this dataset be applied?
- This dataset is mainly applied in the industrial sector, especially in safety inspections and installation quality control related to electrical wiring.
- How to use this dataset for cable clamp detection?
- You can train an object detection model to recognize cable clamps in images, enabling the identification of issues during electrical wiring safety inspections.
- What types of detection tasks does the dataset support?
- This dataset supports object detection tasks, focusing on identifying cable clamps and raceways in images.
- What are the benefits of using this dataset?
- The use of this dataset can enhance the safety of electrical wiring installation by reducing the time and error rate associated with manual inspections through automated detection technology.
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Cite this Work
@dataset{Mobiusi2025,
title={Cable Clip/Tray Detection Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/81d3bc538b4ccb2e7de5e1aeb1cba010?cate=2},
urldate={2025-08-28},
keywords={Cable Clip Detection,Tray Inspection Dataset,Industrial Image Dataset,Electrical Wiring Safety},
version={1.0}
}Using this in research? Please cite us.
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