Mercury Column Liquid Level Small Object Detection Image Dataset
#object detection #image classification #data annotation #medical imaging analysis #small object detection #automated diagnosis
- Records
- 5000 records
- Size
- 1.5G
- Format
- JPG/PNG/JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-04
AI Analysis & Value Prop
In the medical industry, liquid level monitoring is a critical technical field, especially when dealing with small objects that face many challenges such as insufficient target identification accuracy and environmental noise interference. Existing solutions often rely on traditional image processing algorithms, which struggle to adapt to complex environments, resulting in low recognition rates. This dataset aims to provide a large amount of accurately labeled liquid level image data to address the difficulties in algorithm training for small object detection. Data collection is performed using high-resolution cameras in a standardized laboratory environment to ensure image quality. For quality control, multiple rounds of labeling and expert review are implemented to ensure consistency and accuracy of labeling. Data is stored in JPEG format, organized in a folder structure for easy subsequent processing and retrieval. The core advantage of this dataset is its high labeling precision and completeness, with labeling consistency above 95%, greatly enhancing the algorithm's adaptability and accuracy. By introducing new data augmentation techniques, the trained models achieved a 15% improvement in small object detection accuracy, significantly enhancing the efficiency and reliability of medical image analysis.
Overview
Dataset Insights
Preview
Sample Examples
36844f7a**.jpg|980*1306|149.84 KB
eecd81d3**.jpg|980*823|150.20 KB
dcd71f32**.jpg|980*1237|202.83 KB
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Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| detected_objects_count | integer | The number of detected liquid level targets within the image. |
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 is the Mercury Column Liquid Level Small Object Detection Image Dataset?
- The Mercury Column Liquid Level Small Object Detection Image Dataset is a dataset used for detecting small objects of liquid levels in images, specifically used in the medical field to support high-precision analysis and detection.
- For which healthcare applications is this dataset suitable?
- This dataset can be applied in healthcare areas such as monitoring liquid levels in medical devices, measuring liquids in drug preparation, and other related applications.
- How can this dataset be used for research in the medical industry?
- Researchers can use this dataset to develop more accurate liquid level detection algorithms, improving the reliability and precision of medical devices, thus providing better technical support for the medical industry.
- What is an object detection dataset and what is its role in the healthcare field?
- An object detection dataset is a collection used for training and evaluating detection algorithms, allowing systems to recognize and locate specific targets in images. In healthcare, it is used for detecting lesions in medical images, monitoring equipment status, etc.
- How is the accuracy ensured for liquid level detection using this dataset?
- Accuracy relies on high-quality image data and finely annotated training. Techniques like cross-validation are used during model training and testing to ensure robustness across different scenarios.
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Cite this Work
@dataset{Mobiusi2025,
title={Mercury Column Liquid Level Small Object Detection Image Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/d118528de3a3b2c459cf4241d5ba9017?dataset_scene_id=4},
urldate={2025-10-23},
keywords={mercury column liquid level, small object detection, medical dataset, target detection dataset, medical imaging},
version={1.0}
}Using this in research? Please cite us.
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