Quality Inspection Station Instrument Reading Recognition Image Dataset

Name: Quality Inspection Station Instrument Reading Recognition Image Dataset
Creator: MOBIUSI INC
Published: 2026-02-04

#Image Recognition #Machine Learning #Pattern Recognition #Scientific Research #Quality Inspection #Instrument Reading Recognition

500 records
1.5G
JPG
CC-BY-NC-SA 4.0
MOBIUSI INC

Updated:2026-02-04

AI Analysis & Value Prop

The core advantage of the dataset lies in its high-quality data integration and innovative annotation technology. The annotation accuracy is over 98%, ensuring the reliability of model training. Additionally, the dataset introduces the latest image data enhancement technology in the field, allowing the model to maintain high accuracy even with low-quality image input. This dataset solves the inefficiency and error-prone issues of traditional manual recording, and improves reading recognition accuracy by 15% under laboratory conditions. Compared to similar datasets, this dataset excels not only in annotation consistency but also provides more detailed real-world application scenario data. Extensive data within the reading field, including instrument display screens, constitutes its unparalleled scarcity and high applicability. The dataset is designed to be easily extended to other scientific testing environments, offering high versatility.

Dataset Insights

Sample Examples

47c35f9f**.jpg|1920*2560|362.17 KB

Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
instrument_type	string	This field identifies the type of instrument in the image.
reading_value	float	This field represents the value of the instrument reading identified from the image.
unit_of_measurement	string	This field indicates the unit of measurement for the instrument reading in the image.
display_type	string	This field indicates the display method of the instrument reading, such as analog or digital.
image_clarity	integer	This field represents the clarity level of the image to facilitate reading instrument measurements.
background_color	string	This field describes the color of the background when the instrument image was taken.
lighting_condition	string	This field describes the lighting conditions present when the image was taken.
reading_angle	float	This field represents the angle at which the image was taken with respect to the instrument display reading.

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 this dataset?: The main purpose of this dataset is to assist in the development and testing of automatic recognition algorithms for instrument readings at quality inspection stations in the field of scientific research.

What types of images are included in the dataset?: The dataset includes images used for recognition of instrument readings at quality inspection stations, displaying screens and readings of various scientific instruments.

What research projects can benefit from this dataset?: This dataset can aid research projects involving the extraction and analysis of scientific instrument readings, especially those requiring automated quality inspection.

How can this dataset be used to improve instrument reading recognition algorithms?: Researchers can use this dataset for training and testing to compare the performance of different algorithms, thereby optimizing and enhancing the accuracy and efficiency of instrument reading recognition.

What is unique about this dataset?: This dataset focuses on specific tasks in the scientific research field, providing high-quality image data to support automated instrument reading recognition work.

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Cite this Work

@dataset{Mobiusi2026,
  title={Quality Inspection Station Instrument Reading Recognition Image Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/cd743e5588b8292bd457b80ecb5eff0a?dataset_scene_cate_type=5},
  urldate={2026-02-04},
  keywords={Instrument Reading Recognition, Quality Inspection Image Data, Scientific Research Image Dataset},
  version={1.0}
}

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