Air Conditioner Inlet Filter Blockage Image Recognition Dataset
V1.0Latest Update: | 2025-10-12 | 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 | equipment maintenance | fault prediction | ||
Applications: | Image recognition | classification | deep learning | ||
Brief Introduction
In the current industrial field, predicting maintenance cycles of air conditioning equipment is an important issue, especially in situations of filter blockage, which can easily lead to reduced efficiency or even equipment failure. However, existing monitoring solutions heavily rely on manual inspection, which is inefficient and prone to errors. This dataset aims to automatically recognize the dust accumulation status of filters through image recognition technology to predict maintenance needs in advance. The data is collected using high-resolution images from multiple industrial environments to ensure coverage of different dust conditions. Quality control involves multiple rounds of annotation and expert review to ensure data consistency and accuracy. The data is stored in JPEG format, categorized by time and dust level for easy subsequent processing and analysis.
Sample Examples
| Image | File Name | Resolution | Dust Accumulation Level | Filter Type | Blockage Status | Detection Confidence | Target Location | Image Quality | Lighting Level | Filter Orientation |
|---|---|---|---|---|---|---|---|---|---|---|
 | f594fe87fdbdce35b722c078a92f0bb0.jpg | 1080*1416 | Notable dust accumulation, suggested cleaning. | Metal filter | Slight clogging | 0.85 | Center of the image, filter fully visible | Clear | Well-lit | Vertical |
 | 55b81acf167854c7b214f562fc776da5.jpg | 1078*1414 | Severe accumulation | Fiber filter | Notable clogging | 0.9 | Central right of the image | Clear | Well-lit | Horizontal |
 | b3678a6c267cca02c94844635deab6fc.jpg | 1080*1397 | Considerable dust accumulation, suggested filter cleaning | Metal filter | Slight clogging | 0.85 | Middle right of the image | Clear | Well-lit | Vertical |
 | f1a24d80d15771767539830b0cbda087.jpg | 1080*1406 | High | Fiber filter | Severe clogging | 0.9 | Central left of the image | Clear | Well-lit | Vertical |
Data Structure
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| dust_level | integer | Indicates the degree of dust accumulation on the filter, which can be used to determine whether cleaning is needed. |
| filter_type | string | Identifies the type of filter, such as metal filter, fiber filter, etc. |
| clogging_status | string | Detects whether the filter is blocked, such as not blocked, slightly blocked, seriously blocked, etc. |
| detection_confidence | float | Represents the confidence in the filter detection results, with values ranging from 0 to 1. |
| object_location | string | Describes the location of the filter in the image, which may include coordinate information. |
| image_quality | string | Evaluation of the image quality, including clarity, blurriness, etc. |
| illumination_level | string | Detects the lighting conditions in the image, such as adequate lighting, insufficient lighting, etc. |
| filter_orientation | string | The orientation of the filter in the image, such as vertical, horizontal, etc. |
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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