Seat Slide Rail Detection Dataset
V1.0Latest Update: | 2025-10-15 | Samples: | 15000 records |
Samples: | 15000 records | ||
File Size: | 2.3G | Format: | JPG/PNG/JSON |
Format: | JPG/PNG/JSON | ||
Data Domain: | Image | Holder: |  MOBIUSI INC |
Holder: | MOBIUSI INC | ||
Industry Scope: | Structural recognition | Assembly assistance | Quality control | ||
Applications: | Object detection | Image classification | ||
Brief Introduction
In the current industrial sector, detecting the structural integrity and assembly accuracy of seat slide rails is a significant challenge, as defects can lead to safety issues and increased costs. Existing solutions often rely on manual inspection or basic automated systems that fail to achieve high accuracy and efficiency. This dataset aims to tackle these problems by providing a comprehensive collection of image data specifically for the detection of seat slide rail structures. The data is collected using high-resolution cameras in controlled environments to ensure clarity and detail. Quality control measures include multiple rounds of annotation, consistency checks among annotators, and expert reviews to guarantee high precision. The dataset is organized in JPEG format for easy access and processing.
Sample Examples
| Image | File Name | Resolution | Number of Targets | Target Location | Detection Accuracy | Anomaly Detection | Lighting Conditions |
|---|---|---|---|---|---|---|---|
 | c5fefa1a26799d3efec92ed38e836742.png | 999*1300 | 1 | Bottom of the image, towards the left | High | No | Good lighting, using a flash |
 | 4ebc58ebccfb3bcffb3c571248d06fe5.png | 1710*1300 | 1 | slightly left of center | high | no | ample lighting |
 | 5bdf5000aa1bab2cec9779168c49db2d.png | 1091*1300 | 2 | middle position of the two upper tracks | high | no | even lighting |
 | 54806eed169f9cb8e10c7f21a2c8a855.png | 1427*1300 | 4 | [evenly distributed on the floor of the carriage] | high | no | good lighting, even |
 | 7aaea51998a2a158672eef0aebc19110.png | 1973*1300 | 2 | bottom left and bottom right | high | no | even lighting |
Data Structure
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| object_count | int | The number of seat rail targets detected in the image. |
| object_positions | json | The specific coordinate information of the seat rail in the image. |
| detection_accuracy | float | Evaluation of the model's accuracy in detecting seat rails in the image. |
| anomalies_detected | boolean | Whether any anomalies were detected in the seat rails in the image. |
| lighting_condition | string | Description of the lighting conditions when the image was taken. |
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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