Three-way Catalytic Converter Detection Dataset
V1.0Latest Update: | 2025-10-15 | Samples: | 15000 records |
Samples: | 15000 records | ||
File Size: | 3.2G | Format: | JPG/PNG/JSON |
Format: | JPG/PNG/JSON | ||
Data Domain: | Image | Holder: |  MOBIUSI INC |
Holder: | MOBIUSI INC | ||
Industry Scope: | Environmental Compliance Verification | Catalytic Converter Loss Detection | ||
Applications: | Object Detection | Image Classification | ||
Brief Introduction
The current industrial sector faces significant challenges in verifying environmental compliance and detecting losses of catalytic converters, with many existing solutions lacking in accuracy and efficiency. Current methods often rely on manual inspections which are time-consuming and prone to human error. This dataset aims to address the need for automated, accurate detection and classification of catalytic converters using machine learning techniques. Data is collected through high-resolution cameras in controlled environments to ensure clarity and consistency. Quality control measures include multi-round annotations, consistency checks, and expert reviews to guarantee high standards. The dataset is organized in JPG format, with images stored in a structured directory for easy access and retrieval. Each image is accompanied by metadata that includes quality scores and classification labels.
Sample Examples
| Image | File Name | Resolution | Image Quality | Target Quantity | Target Position | Target Size | Target Shape | Defect Presence | Defect Type | Color Distribution | Lighting Conditions |
|---|---|---|---|---|---|---|---|---|---|---|---|
 | 51e62420fad561464e4245a16af48c5b.jpg | 1080*1330 | Image is clear, details are visible, and the contrast is moderate. | 1 | The catalytic converter is located towards the lower center of the image. | The catalytic converter occupies a large proportion of the image. | Cylindrical shape with slight expansion at both ends. | Defect present | Surface rusting | Color is primarily metallic brown with some areas of black and white. | Uniform lighting, sufficient natural light. |
 | 5fa831abeb7ebbe3795e1bf089e33ed8.jpg | 1080*1333 | The image is clear, with good contrast and visible details. | 1 | Bottom half of the image, near the right side | About one-third of the image height | Cylindrical, slightly narrower in the middle, slightly wider at both ends | Present | Surface rusting | Mainly gray and brown, with black and white background | Natural light, evenly distributed |
 | c31beb50d6e129490119c4477743b5b3.jpg | 1080*722 | The image has high clarity, moderate contrast, and visible details. | 1 | Located in the central area of the image | Relatively medium, occupies a large part of the image | Cylindrical appearance with pipes and connectors | Presence of rust | Surface rusting | Primarily metallic and rust brown colors | Good and even lighting |
 | 3331a80cdcd70fa400337799c87daae2.jpg | 1080*1323 | The image is clear with good contrast. | 1 | Just off-center to the right in the image | Occupies about one-third of the image | Cylindrical with a shell and connecting parts | Presence of rust spots | Surface rusting | Mainly metallic color and rust color, with light gray and black background | Adequate and even lighting |
Data Structure
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| image_quality | string | Evaluating quality metrics of the image such as sharpness and contrast. |
| object_count | int | The number of catalytic converters in the image. |
| object_position | string | The specific position of the catalytic converters in the image. |
| object_size | string | The size of the catalytic converters in the image. |
| object_shape | string | Description of the appearance and shape of the catalytic converters. |
| defect_presence | string | Whether defects are present in the catalytic converters. |
| defect_type | string | The specific types of defects present. |
| color_distribution | string | The distribution of colors in the image |
| illumination_condition | string | The lighting conditions when the image was captured |
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 |
Can't find the data you need?
Post a request and let data providers reach out to you.