Seed Segmentation Semantic Segmentation Dataset and Pre-Trained Model by Universidad Nacional de Colombia

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Explore Dataset

Here are a few use cases for this project:

Agriculture Improvement: This model can be used by farmers or agricultural companies to analyze seed germination rates. This can contribute to a more efficient planting process by identifying seeds that have or haven't germinated, ultimately leading to improved yield.
Plant Breeding: Plant breeders can use this model to select seeds that have germinated for propagation. This can assist in developing plant varieties that have higher germination rates or disease resistance.
Seed Retail: Companies who sell seeds to gardeners or farmers could leverage this model to ensure their products' quality, by only including germinated seeds which would increase customer satisfaction.
Educational Use: Schools and educational institutions could use this model as a teaching tool to explain and demonstrate germination processes in a clear and comprehensible manner.
Biotechnology Research: In biotech, the model could facilitate experiments that require understanding of germination patterns, such as studying plant responses to various chemicals or environmental conditions.

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{
                            seed-segmentation-zidqm_dataset,
                            title = { Seed Segmentation Dataset },
                            type = { Open Source Dataset },
                            author = { Universidad Nacional de Colombia },
                            howpublished = { \url{ https://universe.roboflow.com/universidad-nacional-de-colombia-5exgg/seed-segmentation-zidqm } },
                            url = { https://universe.roboflow.com/universidad-nacional-de-colombia-5exgg/seed-segmentation-zidqm },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-06-18 },
                            }