mitocondri 2022 Object Detection Dataset and Pre-Trained Model by rebecca abati

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Explore Dataset

Here are a few use cases for this project:

Medical Research and Diagnostics: Mitocondri 2022 can be used by researchers and medical professionals to analyze cell samples, identify various types of mitochondria, and study their role in cellular processes, energy production, and diseases related to mitochondrial dysfunction.
Pharmaceutical Industry: This model can be utilized for drug development and testing, specifically drugs targeting mitochondrial function. By identifying different classes of mitochondria, the model can help researchers assess the efficacy and potential side effects of new drugs on cellular energy production and overall cell health.
Education and Training: Mitocondri 2022 can serve as an educational tool for students, teachers, and researchers in the fields of cell biology and biochemistry. By providing a dataset that distinguishes mitochondria classes, the model can help users gain a better understanding of mitochondrial structure, function, and their roles in various cellular processes.
Digital Pathology: The model can be integrated into digital pathology platforms to assist pathologists in identifying abnormal mitochondrial structures in patient tissue samples. By detecting differences in mitochondria, such as size, shape, and density, pathologists can potentially diagnose diseases in their early stages and provide more effective treatment options.
Environmental Research: Mitocondri 2022 can be used to study the impact of environmental factors on mitochondrial function within cells. Researchers studying toxicology or pollution can assess how various contaminants affect the classes of mitochondria being identified by the model, leading to a better understanding of the cellular response to environmental stressors.

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{
                            mitocondri-2022_dataset,
                            title = { mitocondri 2022 Dataset },
                            type = { Open Source Dataset },
                            author = { rebecca abati },
                            howpublished = { \url{ https://universe.roboflow.com/rebecca-abati-ricns/mitocondri-2022 } },
                            url = { https://universe.roboflow.com/rebecca-abati-ricns/mitocondri-2022 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { oct },
                            note = { visited on 2024-05-03 },
                            }