Mobiusi/Pharmacy-Drug-Image-Recognition-Dataset

Pharmacy Drug Image Recognition Dataset

The dataset is characterized by 99% annotation accuracy and 95% annotation consistency. It uses innovative multimodal image enhancement technology and quality assessment methods specific to medical images, ensuring excellent performance and a 92% recognition accuracy in various usage environments. In comparison with other medical image datasets, this dataset stands out with its refined category annotations and diverse collection conditions, providing more comprehensive training data for deep learning models. Additionally, its inclusion of over 30,000 drug images has proven to have good scalability and versatility across application scenarios. These features of rarity and quantity leadership offer it a significant competitive advantage in the market.

Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
medication_name	string	The name of the medication, such as Aspirin.
medication_code	string	The unique identifier code for the medication.
dosage	string	The dosage information of the medication, such as 500mg.
manufacturer	string	The name of the manufacturer of the medication.
expiry_date	date	The expiration date of the medication.
package_type	string	The type of packaging of the medication, such as bottle or box.
active_ingredients	string	The main active ingredients in the medication.
medication_form	string	The physical form of the medication, such as tablet or capsule.
barcode_number	string	The barcode number of the medication.

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

Source & Contact

If you need more dataset details, please visit Mobiusi. or contact us via contact@mobiusi.com