ECU Port And Pin Detection Dataset
V1.0Latest Update: | 2025-10-15 | Samples: | 15000 records |
Samples: | 15000 records | ||
File Size: | 1.5G | Format: | JPG/PNG/JSON |
Format: | JPG/PNG/JSON | ||
Data Domain: | Image | Holder: |  MOBIUSI INC |
Holder: | MOBIUSI INC | ||
Industry Scope: | Fault Diagnosis | Communication Testing | ||
Applications: | Image Classification | Object Detection | ||
Brief Introduction
The ECU terminal/pin detection dataset is designed to address the challenges in diagnosing communication faults in industrial systems. Current methodologies often lack precision and are limited by the diversity of ECU designs, making it difficult to implement reliable diagnostics. This dataset aims to provide high-quality images for training machine learning models, specifically targeting the identification and classification of ECU connectors and pins. The dataset was compiled using high-resolution cameras in controlled environments, ensuring clear visibility of critical components. Quality control measures include multiple rounds of annotation and expert reviews to ensure consistency and accuracy in labeling. The data is organized in JPG format for easy access and processing.
Sample Examples
| Image | File Name | Resolution | Pin Count | Port Location | Pin Direction | Anomaly Presence | Port Type | Connection Status | Surface Condition | Label Position Accuracy |
|---|---|---|---|---|---|---|---|---|---|---|
 | 0a815049687882a3805d37947b8e34d0.jpg | 1707*1279 | Multiple pins | Center-right of the image | Horizontal | No obvious anomalies | Not clearly identified | Appears to be correctly connected | Surface has no obvious scratches or stains | No label, cannot judge |
 | 1385c5fc2190c7fb6e620fa2e1050bf3.jpg | 1279*1643 | Multiple pins in the image, but difficult to determine exact count | ECU port is located on the right side of the image | Pins are arranged horizontally | No obvious anomalies detected | Type unclear, possibly a data port | Port appears to be correctly connected | Surface condition is good, no obvious scratches or stains | Label position is relatively accurate |
 | 6a08ed6948e4b52ff194e82974687b85.jpg | 1900*2380 | Each port has a different number of pins, the white port in the image clearly has multiple pins | ECU port is located at the middle lower part of the image | Most pins are horizontal | No obvious anomalies | Multiple ports are shown in the image, specific types unknown but may include input and output ports | Some ports are connected, some are not | No obvious scratches or stains | No clear reference points for comparing the labeled and actual pin positions |
 | c69e3c83cf4e4901748095624183e039.jpg | 1080*1402 | A large number of pins are shown in the image | Center of the image | Pin direction is horizontal | No obvious anomalies | Port type unclear | Port correctly connected | Surface condition is good, no obvious scratches or stains | Labeled pin position accurately matches actual position |
 | 9eafa8aed4b6fd1191b3ecf4da1982d5.jpg | 1424*1900 | 16 | Middle-bottom of the image | Horizontal | No obvious anomalies | Input port | Not connected | Surface has no obvious scratches or stains | Label position is accurate |
Data Structure
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| pin_count | int | The number of pins on the ECU port in the image. |
| port_position | string | The location of the ECU port in the image. |
| pin_orientation | string | The direction of the pins in the image, such as horizontal or vertical. |
| anomaly_presence | boolean | Whether any noticeable anomalies are present in the image. |
| port_type | string | The type of the ECU port, such as input port or output port. |
| connection_status | string | Whether the port in the image is correctly connected |
| surface_condition | string | The physical condition of the port and its surrounding surface, such as scratches, stains, etc. |
| label_position_accuracy | string | The accuracy of the marked pin positions in the image compared to their actual positions |
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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