COVID RAT Result Detector Computer Vision Project
Version 2: Combine the annotated datasets from: https://universe.roboflow.com/rat-qfgoz/rat_classifier
Accuracy seems better with more image samples.
Version 1: Try to train a model to detect whether a COVID RAT shows positive or negative result. This is still under trial. Seems accuracy is not high.
Sample size only ~60 different images. Still need to get more different sample image to train.
Roboflow is an easy to use platform and saves a lot of time in setting environment and coding. Thanks.
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{
covid-rat-result-detector_dataset,
title = { COVID RAT Result Detector Dataset },
type = { Open Source Dataset },
author = { Nick Wong },
howpublished = { \url{ https://universe.roboflow.com/nick-wong-fkzox/covid-rat-result-detector } },
url = { https://universe.roboflow.com/nick-wong-fkzox/covid-rat-result-detector },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { dec },
note = { visited on 2024-06-25 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the COVID RAT Result Detector project in your project.
