Industrial Conveyor Belt Operating Anomaly and Surface Damage Visual Inspection Dataset
- Records
- 2345
- Size
- 0.2GB
- Format
- piece
- Provider
MOBIUSI INC- Updated
- v1.02026-11-04
This dataset focuses on operating anomalies and surface damage on industrial conveyor belts, providing images and corresponding annotation information for visual analysis of belt conditions and visible defects. Each record includes an image identifier, image and annotation file paths, a class ID, image width and height, and image format to support data retrieval, training set preparation, and model integration. It is suitable for industrial equipment inspection, conveyor system condition monitoring, defect recognition, and intelligent maintenance research.
Overview
Dataset Insights
Preview
Sample Examples
3b6a8df0**.jpg||0 B
Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| image_id | string | A unique identifier for the image. |
| image_path | string | The file path to the image. |
| label_path | string | The file path to the annotation. |
| category_id | array | The identifier of the image's class. |
| image_width | number | The image width in pixels. |
| image_format | string | The image file format. |
| image_height | number | The image height in pixels. |
Trust
Compliance Statement
Authorization Type
Proprietary - Commercial AI Training License (No Redistribution)
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
FAQ
Frequently Asked Questions
- What does the dataset include?
- The dataset is designed for visual inspection of industrial conveyor belt operating anomalies and surface damage. It includes image-related information and annotation file paths, along with fields such as class ID, image dimensions, and format. Confirm the sample count, defect categories, and annotation format against the delivered files and product listing.
- Which model tasks can use this data?
- Potential tasks include conveyor belt surface damage recognition, operating anomaly recognition, object detection, and image classification. The training methods supported depend on the content, format, and completeness of the annotation files.
- How can I obtain the data and assess its quality?
- Obtain the files through the product page or data provider, then check that images, annotation files, and class IDs correspond. The available information does not specify sample count, resolution range, or quality assurance criteria, so review a sample of the delivered data.
- What are the data usage and licensing terms?
- The available information does not state the license scope, commercial use permissions, or redistribution rules. Review the product page terms before purchase or use, and contact the provider if you need clarification about specific permissions.
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Cite this Work
@dataset{Mobiusi2026,
title={Industrial Conveyor Belt Operating Anomaly and Surface Damage Visual Inspection Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/5b1e3f0fb3d35eb5498ae35b3a975df7?dataset_scene_cate_type=5},
urldate={2026-11-03},
keywords={industrial conveyor belt dataset,conveyor belt surface damage,conveyor anomaly detection,industrial vision inspection,belt conveyor inspection,conveyor system monitoring,defect recognition data,intelligent maintenance},
version={1.0}
}Using this in research? Please cite us.