Latest Update: | 2025-10-15 | Samples: | 5000 records |
Samples: | 5000 records | ||
File Size: | 1.5G | Format: | JPG/PNG/JSON |
Format: | JPG/PNG/JSON | ||
Data Domain: | Image | Holder: | ![]() |
Holder: | ![]() | ||
Industry Scope: | Emission Control | Intelligent Diagnosis | Sensor Position Confirmation | ||
Applications: | Classification | Anomaly Detection |
Image | File Name | Resolution | Image Quality Score | Target Quantity | Target Type | Label Confidence | Bounding Box | Detection Timestamp | Sensor Location | Pose Estimation | Surface Condition | Background Complexity |
---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | ff6d89cbab035c19453f4ef3e554f5fa.jpg | 1080*1320 | 9 | 1 | Oxygen Sensor | High | (200, 250, 300, 320) | 2023-10-10 10:00:00 | Middle left | Sensor at approximately 15 degrees to the exhaust pipe | Surface has rust | Moderate |
![]() | 5cd1c34234a6c497b9e6db4abf2f894b.jpg | 803*1378 | 7 | 1 | Oxygen Sensor | High | (450, 200, 550, 300) | 2023-10-08 14:30:00 | Middle right | Vertical | Good | Complex |
![]() | 58cfeccdea73e9a6ee38c50488e764ed.jpg | 1080*1319 | 8 | 1 | Oxygen Sensor | High | (330, 420, 370, 460) | 2023-10-05T12:00:00 | Middle | Tilted about 45 degrees | No significant stains or damage | Complex |
![]() | 97bcdd63d68ea6140fbe798ac0c92c8c.jpg | 1078*701 | 8 | 1 | Oxygen Sensor | High | (350, 250, 450, 300) | 2023-10-05T14:30:00 | Middle left | No obvious tilt | Surface normal, no significant stains or damage | Moderate |
![]() | 58cdf09da480672740dece9aaf63a7f1.jpg | 1080*704 | 8 | 1 | Oxygen Sensor | High | (200, 150, 400, 350) | 2023-10-05T14:30:00Z | Middle | Slightly tilted | Surface is stained | Complex |
Field | Type | Description |
---|---|---|
file_name | string | File name |
quality | string | Resolution |
image_quality_score | float | Rating of image clarity and contrast used to evaluate image usability. |
object_count | int | Number of oxygen sensors identified in the image. |
object_type | string | Type of detected target, such as 'oxygen sensor' or other components. |
label_confidence | float | Confidence score of the object detection model in identifying the oxygen sensors. |
bounding_box | string | Coordinates of the bounding box containing the detected oxygen sensors, formatted as (x_min, y_min, x_max, y_max). |
detection_timestamp | datetime | Time when the image was processed and the targets were detected. |
sensor_position | string | Description of the position of the oxygen sensor in the image (e.g., top-left, center, etc.). |
pose_estimation | string | Estimating the orientation of a sensor in three-dimensional space, such as tilt angles. |
surface_condition | string | Description of the sensor's surface condition, such as the presence of stains or damage. |
background_complexity | string | The complexity of the image background, such as simple or complex. |
Item | Content |
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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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