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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%).
+

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