CFU_counting Object Detection Dataset and Pre-Trained Model by Count CFUs

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Explore Dataset

Here are a few use cases for this project:

Microbial Growth Analysis: Use the CFU_counting model to track and analyze microbial growth in petri dishes for various samples, such as assessing bacterial growth under different conditions or testing the effectiveness of antibiotics in inhibiting bacterial growth.
Food Safety Inspection: Employ CFU_counting in monitoring food production and storage environments, helping to identify areas with high bacterial growth and ensuring adherence to industry regulations and standards for hygiene and safety.
Environmental Microbiology: Apply CFU_counting to investigate and monitor microbial populations in various environmental samples (soil, water, air) to assess the overall health of ecosystems or track pollution sources.
Quality Control in Pharmaceutical Manufacturing: Use CFU_counting to inspect biopharmaceutical products during development and manufacturing for any potential bacterial contamination, ensuring the safety and efficacy of the final product.
Biology and Microbiology Education: Utilize CFU_counting as an interactive teaching tool to assist students in counting and identifying CFUs, helping them understand microbial growth, reproduction strategies, and their practical applications in research and industry.

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{
                            cfu_counting_dataset,
                            title = { CFU_counting Dataset },
                            type = { Open Source Dataset },
                            author = { Count CFUs },
                            howpublished = { \url{ https://universe.roboflow.com/count-cfus/cfu_counting } },
                            url = { https://universe.roboflow.com/count-cfus/cfu_counting },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2024-04-25 },
                            }