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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.
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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…