Lubrication Nozzle Detection Dataset
#Object Detection #Image Classification #Automatic Recognition #Maintenance Point Identification
- 5000 records
- 1.5G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-05-05
AI Analysis & Value Prop
In the industrial sector, maintenance of lubrication systems is crucial for machinery efficiency, yet identifying maintenance points remains a challenge due to manual inspection limitations. Existing solutions often suffer from human error and inefficiency, leading to delayed maintenance and increased downtime. This dataset aims to address the need for automated recognition of lubrication nozzles through image analysis, facilitating timely maintenance. The data was collected using high-resolution cameras in various industrial environments, ensuring diversity. Quality control was implemented through multiple rounds of annotation, consistency checks, and expert reviews to ensure accuracy. The dataset is stored in JPG format, organized by categories and labeled accordingly. Each image is accompanied by metadata detailing its attributes and quality assessments.
Dataset Insights
Sample Examples
e9b8477e**.jpg|2000*3556|1.64 MB
728aa4aa**.jpg|2000*3556|1.84 MB
e3eb6525**.jpg|1252*2228|1.03 MB
44cdf58f**.jpg|2000*3556|1.96 MB
e7cdd18b**.jpg|1279*1704|794.07 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| nozzle_count | integer | The number of lubrication nozzles detected in the image. |
| defect_type | string | The types of defects that may be present in the lubrication nozzles, such as cracks, blockages, etc. |
| bounding_box | string | The detected location of the lubrication nozzle, represented by a rectangular box. |
| nozzle_material | string | The material type of the lubrication nozzles, such as iron, steel, plastic, etc. |
| corrosion_level | integer | The corrosion level of the lubrication nozzle, represented by different numerical levels. |
| orientation | string | The orientation of the lubrication nozzle in the image, such as horizontal or vertical. |
| nozzle_diameter | float | The diameter of the lubrication nozzle, measured in millimeters. |
| background_complexity | string | The complexity of the image background, such as simple or complex. |
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 types of images are included in the Lubricant Nozzle Detection Dataset?
- The dataset primarily includes images of lubricant nozzles in industrial environments for object detection tasks.
- For which industrial applications is this dataset suitable?
- The dataset is suitable for applications such as automated maintenance and fault detection in lubrication systems.
- How can this dataset improve the automation of lubrication system maintenance?
- By training deep learning models with the Lubricant Nozzle Detection Dataset, the automation in detection and maintenance of lubrication systems can be significantly enhanced.
- What advantages does the Lubricant Nozzle Detection Dataset offer in object detection tasks?
- The dataset provides high-quality annotated data that can be used for accurate detection and classification of lubricant nozzles in industrial environments.
- What technical challenges can be addressed using the Lubricant Nozzle Detection Dataset?
- The dataset can help solve challenges related to the detection and recognition of lubricant nozzles in complex industrial environments, enhancing the system's automation level.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Lubrication Nozzle Detection Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/26e6914fb4bd0fdabeda144f04d4f553},
urldate={2025-08-28},
keywords={Lubrication Nozzle Dataset,Industrial Image Dataset,Maintenance Recognition,Object Detection},
version={1.0}
}Using this in research? Please cite us.
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