Member-only story

Medical Pills detection using Ultralytics YOLO11 💊

Muhammad Rizwan Munawar
7 min readFeb 17, 2025

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.

Medical-pills detection using Ultralytics YOLO11
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…

Create an account to read the full story.

The author made this story available to Medium members only.
If you’re new to Medium, create a new account to read this story on us.

Or, continue in mobile web

Already have an account? Sign in

Muhammad Rizwan Munawar
Muhammad Rizwan Munawar

Written by Muhammad Rizwan Munawar

Passionate Computer Vision Engineer | Solving Real-World Challenges🔎| Python | Published Research | Open Source Contributor | GitHub 🌟 | Top Rated Upwork 💪

Responses (1)

Write a response