Air Conditioning Compressor Detection Dataset
V1.0Latest Update: | 2026-01-14 | Samples: | 5000 records |
Samples: | 5000 records | ||
File Size: | 1.2G | Format: | JPG/PNG/JSON |
Format: | JPG/PNG/JSON | ||
Data Domain: | Image | Holder: |  MOBIUSI INC |
Holder: | MOBIUSI INC | ||
Industry Scope: | Industrial Inspection | Quality Control | ||
Applications: | Object Detection | Image Classification | ||
Brief Introduction
The Air Conditioning Compressor Detection Dataset was created to address the pressing challenges in the industrial sector where the quality and integrity of air conditioning compressors are crucial for operational efficiency. Current methods often rely on manual inspections, which can be inconsistent and prone to human error. This dataset aims to provide a comprehensive collection of images that facilitate the development of automated inspection systems, addressing the need for reliable and efficient quality control mechanisms. The dataset includes images collected from diverse industrial environments, captured using high-resolution cameras to ensure clarity. Quality control measures implemented during data collection include multi-round annotations and expert reviews to ensure high annotation precision and consistency. The dataset is organized in JPG format for ease of use and accessibility.
Sample Examples
| Image | File Name | Resolution | Object Type | Defect Type | Defect Severity | Image Quality | Lighting Conditions | Surface Condition | Orientation |
|---|---|---|---|---|---|---|---|---|---|
 | 0b43902bd700b6b879ac66481b4cec10.jpg | 800*1759 | compressor | no obvious defects | none | clear | good lighting | surface with slight dirt | vertical |
 | 92127e8dc78d758ab3b93a23437197ee.jpg | 1060*1885 | connection pipe | no obvious defects | none | clear | good lighting | clean | vertical |
 | 7ac67e2a496c35916af2e21c659718b4.jpg | 800*1759 | compressor | no obvious defects | no defects | clear | even lighting | surface clean | vertical |
Data Structure
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| object_type | string | The categories of objects detected in the image, such as connecting pipe ends, interfaces, etc. |
| defect_type | string | The specific type of defect detected, such as deformation, cracks, contamination, etc. |
| defect_severity | string | The severity level of the defect, such as minor, moderate, severe, etc. |
| image_quality | string | The overall quality assessment of the image, such as clear, blurry, etc. |
| lighting_condition | string | The lighting conditions during image capture, which may affect detection results. |
| surface_condition | string | The condition of the object's surface, such as whether it is clean or has any attachments. |
| orientation | string | Information about the orientation of the object in the image, such as vertical or horizontal. |
Compliance Statement
| Item | Content |
|---|---|
| Authorization Type | CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike) |
| 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 |
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