Infusion Stand Target Detection Image Dataset
#target detection #image classification #medical imaging analysis #smart healthcare #assisted diagnosis
- 5000 records
- 1.2G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-03-18
AI Analysis & Value Prop
The current medical industry faces challenges of low efficiency and high error rates in intelligent recognition and management of infusion stands. Existing manual recognition methods often rely on the experience of medical staff, leading to frequent misdiagnosis and missed diagnoses. To address this issue, this dataset aims to provide high-quality infusion stand image data to support the training of machine learning models, enhancing the accuracy of automatic recognition. Data collection is conducted using professional medical equipment in real hospital environments to ensure the authenticity and effectiveness of the data. In terms of quality control, multiple rounds of annotation and expert review are employed to ensure data consistency and accuracy. The data is stored in JPEG format and organized according to image ID for easy subsequent processing and application.
Dataset Insights
Sample Examples
a895cea5**.jpg|1080*1346|148.15 KB
7a8f29f3**.jpg|1280*1706|307.44 KB
61c27e4c**.jpg|1080*1440|119.05 KB
dd39d710**.jpg|1280*1706|370.78 KB
71cc9c77**.jpg|1080*1440|188.07 KB
4f7f7913**.jpg|1080*1401|159.17 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| number_of_objects | int | The number of identifiable infusion stand objects in the image. |
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 IV stand object detection image dataset?
- The IV stand object detection image dataset is a collection of images specifically used for detecting and recognizing IV stands in medical environments.
- How can this dataset be used in the healthcare industry?
- The dataset can be used to train machine learning models to automatically recognize and detect IV stands in medical environments, facilitating the development of smart medical devices.
- What are the uses of the IV stand object detection image dataset?
- This dataset is mainly used for developing and testing object detection algorithms that can identify IV stands, helping to enhance the intelligence of medical devices.
- Why is IV stand object detection important in smart healthcare?
- IV stand object detection can enhance the efficiency and accuracy of medical processes, enabling automated medical equipment to accurately identify IV stands in complex environments, thus reducing errors and improving patient care quality.
- What key points should be considered when using this dataset?
- When using the IV stand object detection image dataset, attention should be paid to annotation accuracy, image clarity, and diversity to ensure the effectiveness and reliability of the trained model.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Infusion Stand Target Detection Image Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/c5f5263f02bb6ab6f56323913ca584cf?dataset_scene_id=4},
urldate={2025-10-23},
keywords={infusion stand, target detection, medical imaging, smart healthcare, dataset},
version={1.0}
}Using this in research? Please cite us.
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