Medical Pills detection using Ultralytics YOLO11 💊

The medical-pills dataset serves as a proof of concept (POC) dataset, designed for pharmaceutical AI applications. It includes 92 training images and 23 validation images, each annotated for pill detection. This dataset plays a crucial role in automating pill sorting, optimizing inventory management, and enhancing quality control in pharmacies and pharmaceutical industries.

Fig-1.1: Medical-pills detection using Ultralytics YOLO11

By fine-tuning it with the Ultralytics YOLO11 model, businesses can achieve higher accuracy in tracking and classifying pills, reducing manual errors and improving operational efficiency.

In this article, we will explore:

• Applications of medical-pills dataset in the pharma.
• Steps to train YOLO11 on a custom dataset.
• Train the YOLO11 on the medical-pills dataset.
• Run inference with the medical-pills model.
• Additional resources for medical-pills dataset.

Let’s dive in 🚀

Applications of Medical-pills dataset in the Pharma

The medical-pills dataset has numerous applications in the pharma industry, with the most significant ones highlighted below.

• Identification and Sorting of pills: YOLO11 can be used…