Transparent Cover Detection Dataset
#Object Detection #Image Classification #Lamp Shade Inspection #Panel Integrity Recognition #Plastic Impact Detection
- 5000 records
- 3.2G
- JPG/PNG/JSON
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-03-14
AI Analysis & Value Prop
The current industrial sector faces significant challenges in ensuring the integrity of transparent components like lamp shades and panels. Existing solutions often lack precision and are inefficient in detecting subtle defects. This dataset aims to address these technical challenges by providing a robust resource for machine learning models focused on defect detection in transparent covers. The dataset consists of images collected using high-resolution cameras in controlled environments, ensuring clarity and detail. Quality control measures include multiple rounds of annotation, consistency checks among annotators, and expert reviews to validate the integrity of the labels. Data is stored in JPG format, organized by folders based on categories of defects, facilitating easy access and analysis. The dataset is designed to improve detection accuracy by providing high-quality, well-annotated images for training models.
Dataset Insights
Sample Examples
c5bd45e0**.jpg|1080*1389|158.37 KB
d3ff10e8**.jpg|1440*1048|170.53 KB
4aba2b0c**.jpg|1438*1040|157.81 KB
d0f18c7b**.jpg|1080*1440|393.13 KB
e1342d1c**.jpg|1080*1397|167.71 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| defect_type | string | The type of defect detected on the transparent cover plate, such as cracks, bubbles, scratches, etc. |
| defect_location | string | The specific location of the defect on the cover plate, usually expressed in coordinates. |
| defect_size | string | The size of the defect, usually expressed in terms of width and height. |
| defect_severity | string | A rating indicating the severity of the detected defect, which can be levels such as low, medium, or high. |
| detection_confidence | float | The confidence score of the defect detection result, ranging from 0 to 1. |
| image_quality | string | The quality grade of the image, which may include assessments such as clear, blurred, or high noise. |
Compliance Statement
| 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 |
Frequently Asked Questions
- What is the main purpose of the Transparent Cover Plate Detection Dataset?
- The Transparent Cover Plate Detection Dataset is primarily used to support defect detection and quality control in the industry, helping to enhance product quality and production efficiency.
- What industrial applications is the Transparent Cover Plate Detection Dataset suitable for?
- This dataset is suitable for industrial applications that require detecting surface defects on transparent materials, such as electronics manufacturing and glass products production.
- What type of image data does the Transparent Cover Plate Detection Dataset contain?
- The dataset contains image data for object detection, primarily showing various defects on transparent cover plates.
- How can the Transparent Cover Plate Detection Dataset be used for machine learning training?
- The image data from the dataset can be used to train machine learning models to automatically detect defects in industrial environments.
- How is the object detection task defined in the Transparent Cover Plate Detection Dataset?
- In this dataset, the object detection task involves identifying and localizing defect areas on the transparent cover plates in the images.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Transparent Cover Detection Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/cd64aab0fa58eb746131323587307522?dataset_scene_id=2},
urldate={2025-08-28},
keywords={Transparent Cover Detection,Industrial Image Dataset,Lamp Shade Inspection Dataset,Plastic Impact Detection},
version={1.0}
}Using this in research? Please cite us.
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