Pill Classification Computer Vision Project
Updated 2 years ago
Metrics
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. 
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
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Preprocessing: Auto-Orient, Resize (Stretch to 416x416), all classes remapped (Modify Classes) to "pill"
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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
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Trained from the COCO Checkpoint in Public Models ("transfer learning") on Roboflow
NOTE:
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
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
pill-classification_dataset,
title = { Pill Classification Dataset },
type = { Open Source Dataset },
author = { Mohamed Attia },
howpublished = { \url{ https://universe.roboflow.com/mohamed-attia-e2mor/pill-classification } },
url = { https://universe.roboflow.com/mohamed-attia-e2mor/pill-classification },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { jun },
note = { visited on 2024-12-21 },
}