Roboflow Universe Tom Gijsberts Stomatal Imprints Chrysanthemum

Stomatal Imprints Chrysanthemum Computer Vision Project

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[Work in Progress!]

Dataset for identifying stomata in images taken with 400x magnification of the abaxial side of stomatal imprints of Chrysanthemum leaves. Since stomatal imprints are often difficult to analyse due to the irregular surface of the imprint (causing parts of the image to be out of focus), this model is purposefully trained on both clear and blurry stomata within the same images. With this model we aim to simplify the recording of stomatal densities in Chrysanthemum, especially for imperfect imprints that are easy to generate quickly.

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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{
                            stomatal-imprints-chrysanthemum_dataset,
                            title = { Stomatal Imprints Chrysanthemum Dataset },
                            type = { Open Source Dataset },
                            author = { Tom Gijsberts },
                            howpublished = { \url{ https://universe.roboflow.com/tom-gijsberts/stomatal-imprints-chrysanthemum } },
                            url = { https://universe.roboflow.com/tom-gijsberts/stomatal-imprints-chrysanthemum },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { may },
                            note = { visited on 2024-05-23 },
                            }