Panel Font Blurriness Recognition Dataset
#Image Classification #Object Detection #Character Recognition #Quality Control #Industrial Automation
- 5000 records
- 1.5G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-09-23
AI Analysis & Value Prop
The current industrial sector faces challenges in accurately recognizing characters printed with inkjet technology, especially when they are unclear or misaligned. Existing solutions often struggle with high variability in font styles and printing conditions, leading to misinterpretations that can affect operational efficiency. This dataset aims to address the specific technical challenges in recognizing blurry fonts while ensuring that operational processes remain intuitive. The data is collected using high-resolution cameras in controlled environments, ensuring optimal lighting and focus. Quality control measures include multiple rounds of annotation, consistency checks among annotators, and expert reviews to ensure high accuracy. The dataset is organized into a structured format with images stored in JPG and associated metadata in a separate JSON file.
Dataset Insights
Sample Examples
d8331dbe**.png|1280*1305|769.12 KB
e5432cca**.png|1280*1556|489.30 KB
2bb7edc9**.png|1280*1194|936.61 KB
f3ce2ea7**.png|1280*951|1.24 MB
37c6ef55**.png|1280*1646|2.33 MB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| character_type | string | The type of characters involved, such as letters, numbers, or symbols. |
| font_size | float | The size of the font for characters, which can be measured in pixels. |
| blur_level | int | The level of blur applied to the font, typically represented by a numerical value indicating severity. |
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 |
Frequently Asked Questions
- What is the Panel Font Blurring Recognition Dataset?
- The Panel Font Blurring Recognition Dataset is an object detection dataset designed to improve character recognition accuracy in the industrial sector, particularly addressing issues with unclear inkjet printing.
- In which industrial sectors is this dataset mainly applied?
- This dataset is mainly applied in industrial sectors that require character recognition, helping to address issues caused by unclear inkjet printing.
- What is the data modality of the Panel Font Blurring Recognition Dataset?
- The data modality of the Panel Font Blurring Recognition Dataset is images, suitable for image object detection analysis.
- What problems can be solved by using this dataset?
- Using this dataset can effectively improve the accuracy of character recognition, especially addressing the common issue of unclear inkjet printing in industrial applications.
- What contribution does the Panel Font Blurring Recognition Dataset make to machine learning?
- The Panel Font Blurring Recognition Dataset provides data for training machine learning models and improving recognition accuracy to enhance efficiency in industrial character recognition.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Panel Font Blurriness Recognition Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/34db1f5cf98681658b0078948d7db715},
urldate={2025-08-28},
keywords={Font Recognition Dataset,Blurry Image Dataset,Industrial OCR,Character Recognition,Quality Control Dataset},
version={1.0}
}Using this in research? Please cite us.
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