Wiper Arm Detection Dataset
V1.0Latest Update: | 2026-01-12 | 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: | Wiper Efficiency Recognition | External Damage Detection | ||
Applications: | Image Classification | Object Detection | ||
Brief Introduction
The current industrial sector faces challenges in ensuring the efficiency and safety of wiper arms in vehicles, particularly in adverse weather conditions. Existing solutions often lack precision in damage detection and efficiency assessment, leading to safety concerns. This dataset addresses these technical issues by providing a comprehensive collection of images with annotations for wiper efficiency and damage status. The data is collected from various environments using high-resolution cameras and includes images taken in different lighting conditions. Quality control measures include multi-round annotations, consistency checks, and expert reviews to ensure data reliability. The dataset is organized in JPG format, with images stored in a structured directory based on categories. Each image is accompanied by metadata describing its characteristics.
Sample Examples
| Image | File Name | Resolution | Wiper Arm Type | Damage Type | Damage Degree | Wiping Efficiency Grade | Surface Condition | Detection Confidence | Number of Wiper Arms | Visualization Conditions | Installation Location |
|---|---|---|---|---|---|---|---|---|---|---|---|
 | 8c3d0668e663a0e365413080a11cbd47.jpg | 1080*1771 | Frameless | No Significant Damage | Mild | Efficient | Good Condition | High | 2 | Good Lighting | Front Windshield |
 | 8a29699382ce4524ac2912b38bf6cde6.jpg | 1080*1339 | Frameless | Breakage | Severe | Inefficient | Wear | High | 1 | Good Lighting | Front Windshield |
 | 1073ed53cb3f337c8c7a3a6442f17e3d.jpg | 776*690 | Traditional | Slight Bend | Mild | Average | Slight Wear | High | 1 | Good Lighting | Front Windshield |
 | 6f0e039b736e58ac25e0ffeb25090f5c.jpg | 1080*1327 | Traditional | Wear | Mild | Average | Slight Wear | High | 1 | Good Lighting | Front Windshield |
 | 154f0d5e09f920d914583acd4b3e0609.jpg | 1080*728 | Frameless | Intact | None | Efficient | Intact | High | 1 | Adequate lighting | Front windshield |
Data Structure
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| arm_type | string | The specific type of wiper arm, for example, traditional, frameless, etc. |
| damage_type | string | The types of damage that may occur to the wiper arm, such as cracks, bends, breaks, etc. |
| damage_severity | string | The severity of damage to the wiper arm, such as mild, moderate, severe. |
| efficiency_level | string | The wiping efficiency grade of the wiper arm, such as high-efficiency, general, low-efficiency. |
| surface_condition | string | The surface condition of the wiper arm, such as rusted, worn, intact. |
| detection_confidence | float | The confidence score of the model in detecting results for the wiper arm. |
| num_wipers | int | The number of wiper arms detected in the image. |
| visibility_condition | string | The visualization environmental conditions around the wiper arm when shooting, such as well-lit, backlit, dim. |
| attachment_position | string | The installation location of the wiper arm on the vehicle body, such as the front windshield or rear windshield. |
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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