The Drug Name Detection Dataset

The Dataset serves as a fundamental resource for training and evaluating computer vision models in the field of drug detection. Comprising a diverse collection of 1823 images, this dataset aims to facilitate the development of accurate and robust object detection models specifically tailored for drug label analysis.
The dataset covers a wide range of pharmaceutical products sourced from various manufacturers and packaging styles. It includes images of medicine bottles, blister packs, vials, and other packaging formats commonly found in the healthcare industry.
The Drug dataset, consisting of 1823 images with annotated drug name labels, serves as a valuable resource for training and evaluating computer vision models in the domain of drug label analysis. By utilizing this dataset, researchers and practitioners can advance the development of accurate and efficient drug name detection systems, contributing to improved medication management and patient safety in the healthcare industry.

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