Mohamed Attia

Pill Classification


Pill Classification Computer Vision Project

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496 images
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Background Information

This dataset was curated and annotated by Mohamed Attia.

The original dataset (v1) is composed of 451 images of various pills that are present on a large variety of surfaces and objects. Example of an Image from the Dataset

The dataset is available under the Public License.

Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

Dataset Versions

Version 1 (v1) - 496 images

  • Preprocessing: Auto-Orient and Resize (Stretch to 416x416)
  • Augmentations: No augmentations applied
  • Training Metrics: This version of the dataset was not trained

Version 2 (v2) - 1,190 images

  • Preprocessing: Auto-Orient, Resize (Stretch to 416x416), all classes remapped (Modify Classes) to "pill"

  • Augmentations: Outputs per training example: 3 90° Rotate: Clockwise, Counter-Clockwise, Upside Down Shear: ±5° Horizontal, ±5° Vertical Hue: Between -25° and +25° Saturation: Between -10% and +10% Brightness: Between -10% and +10% Exposure: Between -10% and +10% Noise: Up to 2% of pixels Cutout: 5 boxes with 5% size each

  • Trained from the COCO Checkpoint in Public Models ("transfer learning") on Roboflow


The Isolate Objects preprocessing step was added to convert the original object detection project into a suitable format for export in OpenAI's CLIP annotation format so that it could be used as a classifcation model in this project.

Mohamed Attia - LinkedIn

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

                            title = { Pill Classification Dataset },
                            type = { Open Source Dataset },
                            author = { Mohamed Attia },
                            howpublished = { \url{ } },
                            url = { },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jun },
                            note = { visited on 2024-02-23 },

Connect Your Model With Program Logic

Find utilities and guides to help you start using the Pill Classification project in your project.


Mohamed Attia

Last Updated

2 years ago

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CC BY 4.0