Medicine Boxes Dataset

Dataset Summary

The Medicine Boxes Dataset is a collection of annotated images of medicine boxes designed for object detection tasks. It contains images of medicine boxes with corresponding labels for training, validation, and testing. The dataset is structured to facilitate building models that can automatically detect and classify medicine boxes in images.

Dataset Structure

The dataset is organized into three subsets:

• train/
• val/
• test/

Each subset contains:

• images/: The actual images of medicine boxes.
• labels/: Annotation files in YOLO format corresponding to each image.

YAML Configuration

train: ../train/images
val: ../valid/images
test: ../test/images

nc: 1
names: ['Med-Box']

Dataset Usage

You can use this dataset for:

• Object detection tasks

• YOLO training (YOLOv5, YOLOv8, etc.)

• Computer vision experiments related to medicine box detection

Citation

If you use this dataset, please cite it as:

Malek Messaoudi. Medicine Boxes Annotated Dataset. 2026.

Licence

MIT