medicine-authenticity-classification Computer Vision Project
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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:
@misc{
medicine-authenticity-classification-foqrv_dataset,
title = { medicine-authenticity-classification Dataset },
type = { Open Source Dataset },
author = { deep learning },
howpublished = { \url{ https://universe.roboflow.com/deep-learning-kpf72/medicine-authenticity-classification-foqrv } },
url = { https://universe.roboflow.com/deep-learning-kpf72/medicine-authenticity-classification-foqrv },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jan },
note = { visited on 2024-06-18 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the medicine-authenticity-classification project in your project.
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