Pharmaceutical Classification and Detection Dataset
#classification task #detection task #drug recognition #disease diagnosis #drug detection
- 50000 records
- 3.2G
- JPG/PNG/JSON
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-03-15
AI Analysis & Value Prop
In the current medical industry, there are significant challenges in the classification and detection of pharmaceuticals, particularly given the wide variety of drugs and inconsistent image quality. Existing automated detection systems struggle to ensure accuracy. Traditional manual annotation methods are inefficient and prone to errors, resulting in low accuracy in drug identification. To address this issue, this dataset aims to provide high-quality image data for pharmaceutical classification and detection, helping to improve the performance of machine learning models in drug recognition tasks. Data collection is done using high-resolution cameras in a standardized environment to ensure image clarity. Quality control measures, including multiple rounds of annotation and expert review, ensure data annotation accuracy and consistency. Data is stored in JPEG format and organized by category in folders for ease of subsequent use.
Dataset Insights
Sample Examples
ba3cb0c6**.jpg|1280*963|240.91 KB
2d21934a**.jpg|1280*963|252.67 KB
9609d411**.jpg|1280*963|268.19 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| drug_name | string | The name of the drug. |
| drug_type | string | The type or category of the drug. |
| dosage_form | string | The form of the dosage, such as tablet, capsule, etc. |
| color | string | The color of the drug. |
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 are the potential applications of the Drug Classification and Detection Dataset?
- This dataset can be used in healthcare for drug recognition, classification detection, inventory management, and to support the development of drug management systems.
- What are the advantages of using the Drug Classification and Detection Dataset?
- Using this dataset improves the accuracy and efficiency of drug classification, aiding developers in creating intelligent drug management applications more easily.
- Does the Drug Classification and Detection Dataset contain images of all types of drugs?
- The dataset includes images of various common types of drugs but may not cover all types. Users can extend the dataset as needed.
- How is the quality of the Drug Classification and Detection Dataset ensured?
- The dataset undergoes rigorous data collection and quality control processes to ensure high-resolution images and accurate labeling.
- What advice is there for beginners using the Drug Classification and Detection Dataset?
- Beginners can use image classification algorithms and tools like TensorFlow or PyTorch to practice drug image recognition tasks and continuously optimize the model through experiments.
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={Pharmaceutical Classification and Detection Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/b04231557c5b0190528791a9b01b7242},
urldate={2025-10-22},
keywords={pharmaceutical classification dataset, drug detection, medical image dataset, image classification},
version={1.0}
}Using this in research? Please cite us.
placeholder
placeholder
placeholder
placeholder
placeholder
placeholder
placeholder