
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.
{"language": ["en"], "license": "agpl-3.0", "library_name": "transformers", "tags": ["medical"], "metrics": ["accuracy"]}
transformers safetensors vit image-classification medical en license:agpl-3.0 autotrain_compatible endpoints_compatible region:us has_space