Home/Industry/Lubrication Nozzle Detection Dataset

Lubrication Nozzle Detection Dataset

V1.0
Latest Update:
2025-10-15
Samples:
5000 records
File Size:
1.5G
Format:
JPG/PNG/JSON
Data Domain:
Image
Holder:
MOBIUSI INCMOBIUSI INC
Industry Scope:
Automatic Recognition | Maintenance Point Identification
Applications:
Object Detection | Image Classification

Brief Introduction

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.

Sample Examples

ImageFile NameResolutionNumber Of NozzlesDefect TypeBounding BoxNozzle MaterialCorrosion LevelOrientationNozzle DiameterBackground Complexity
e9b8477eff1a95c594e42f093adbed05.jpg2000*35561No noticeable defects(250, 150, 300, 200)Metal1Vertical20 millimetersSimple
728aa4aa5c9252bf8c656785373b5acd.jpg2000*35561No noticeable defectsCentral positionSteel1VerticalUnknownComplex
e3eb652509596abd060b5103fcfc9c8f.jpg1252*22281No noticeable defectsApproximately at the center of the imageUncertain, possibly metal2VerticalUnknownComplex
44cdf58ffb7331e95f91a41a05306bbd.jpg2000*35561No noticeable defectsLocated at the center of the image, slightly upwardsStainless steel1VerticalApproximately 5 millimetersModerate complexity
e7cdd18b45e641eccc7ca5207ff9aa75.jpg1279*17041Corrosion(250, 400, 350, 450)Metal3HorizontalNot ProvidedComplex

Data Structure

FieldTypeDescription
file_namestringFile name
qualitystringResolution
nozzle_countintegerThe number of lubrication nozzles detected in the image.
defect_typestringThe types of defects that may be present in the lubrication nozzles, such as cracks, blockages, etc.
bounding_boxstringThe detected location of the lubrication nozzle, represented by a rectangular box.
nozzle_materialstringThe material type of the lubrication nozzles, such as iron, steel, plastic, etc.
corrosion_levelintegerThe corrosion level of the lubrication nozzle, represented by different numerical levels.
orientationstringThe orientation of the lubrication nozzle in the image, such as horizontal or vertical.
nozzle_diameterfloatThe diameter of the lubrication nozzle, measured in millimeters.
background_complexitystringThe complexity of the image background, such as simple or complex.

Compliance Statement

ItemContent
Authorization TypeCC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)
Commercial UseRequires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and AnonymizationNo PII, no real company names, simulated scenarios follow industry standards
Compliance SystemCompliant with China’s Data Security Law / EU GDPR / supports enterprise data access logs

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