Medicine Boxes Detection
Collection
This is a collection of annotated images of medicine boxes, designed for computer vision object detection tasks. • 3 items • Updated
Dataset Viewer
The dataset could not be loaded because the splits use different data file formats, which is not supported. Read more about the splits configuration. Click for more details.
Couldn't infer the same data file format for all splits. Got {NamedSplit('train'): ('imagefolder', {}), NamedSplit('validation'): ('text', {}), NamedSplit('test'): ('text', {})}
Error code: FileFormatMismatchBetweenSplitsError
Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
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
- Downloads last month
- 5