Medication Description and Information Dataset
#target recognition #image classification #medication detection #medical image analysis #clinical research
- 5000 records
- 1.5G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-03-18
AI Analysis & Value Prop
The current medical industry faces numerous challenges in identifying and classifying medication information, particularly due to the vast variety of medications, rapid information updates, and the inefficiency and error-proneness of manual annotation. Existing solutions often lack systematic approaches, unable to meet the demand for real-time updates and efficient processing. This dataset aims to enhance the automatic recognition and processing capabilities of medication information through high-quality medication descriptions and image data. Data is collected using professional photography equipment in standardized shooting environments to ensure image clarity and consistency. Quality control measures include multiple rounds of annotation and expert reviews to ensure data accuracy and reliability. The data is stored in JPEG format with a clear organizational structure for easy subsequent use and processing.
Dataset Insights
Sample Examples
dcaab8b2**.jpg|1280*1214|254.52 KB
ebdf3a5d**.jpg|1280*1706|247.41 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| drug_name | string | The name of the drug displayed in the image. |
| dosage | string | The dosage information mentioned on the drug package or instructions. |
| expiration_date | string | The expiration date displayed on the drug packaging. |
| manufacturer | string | The name of the manufacturer of the drug. |
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 can this drug instructions and information dataset be used for?
- This dataset is primarily used for training and validating object detection algorithms to recognize instructions and information on drug packaging, which is useful for medication management and healthcare applications.
- What is the contribution of the drug instructions and information dataset to the healthcare industry?
- The dataset helps enhance the accuracy of drug recognition and the efficiency of information extraction, thereby aiding drug management and healthcare decision-making.
- What information is included in the images in this dataset?
- The images in the dataset include instruction labels on drug packaging and related text descriptions, assisting AI models in understanding and recognizing drug information.
- How to improve the application effectiveness of the drug instructions and information dataset?
- The application effectiveness of this dataset in object detection tasks can be improved by selecting suitable deep learning models and using data augmentation techniques.
- Is specific software or hardware required to use this dataset?
- For object detection tasks using this dataset, it is recommended to use software supporting deep learning frameworks and hardware with good computational power, such as GPUs.
Can't find the data you need?
Post a request and let data providers reach out to you.
Get this Dataset
Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Medication Description and Information Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/223a67eb886c8fc34c83d31287b342bc?dataset_scene_id=4},
urldate={2025-10-22},
keywords={medication description dataset, target detection, medical dataset, image recognition, medication information},
version={1.0}
}Using this in research? Please cite us.
placeholder
placeholder
placeholder
placeholder
placeholder
placeholder
placeholder