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README.md

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----
-license: agpl-3.0
-language:
-- en
-metrics:
-- accuracy
-library_name: transformers
-tags:
-- medical
-pipeline_tag: image-classification
----
-
-This model is part of a school project.
-Utilizing the google/vit-base-patch16-224 vision transformer for image classification, 
-this pre-trained model is further tuned utilizing images of pills and tablets.
-As pills and tablets have three main features, color, shape, and imprint,
-the model aims to identify images of pill and tablets by automatically extracting features.
-The dataset utilized is from the U.S. Department of Health's Computational Photography Project for Pill Identification (C3PI).
-
-DISCLAIMER: The accuracy of this model is currently low (<20%). Further training is currently ongoing to improve the accuracy.
-
-Version 2: This version tries to train the pretrained model with only 20 of the most common pills.
-Unfortunately, the accuract of the model is still currently low (<30%).
-