seed segregation Object Detection Dataset and Pre-Trained Model by 1MS19EC112

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Explore Dataset

Here are a few use cases for this project:

Quality Control in Agricultural Industry: This model could be employed in the agriculture industry for segregating different types of seeds based on quality. The segregation process can help in sorting good from bad seeds, improving productivity and yield.
Seed Retail Businesses: Seed retailers can use this model to ensure the quality of seeds they sell, creating trust and reliability among customers. They can remove bad seeds from their stock and ensure they provide only high-quality seeds to their buyers.
Home Gardening Purposes: Home gardeners can use an app that integrates this model to identify the quality of seeds they bought or harvested from previous crops. This can help them optimize their gardening practices.
Agricultural Research: Researchers could use this model to automatically identify and sort seeds for various studies. It could save time and reduce error from manual sorting.
Food Processing Units: Food processing units like those producing grain-based products, cereals, or legume-based foods can use this model to separate bad seeds from good ones, improving the quality of their final product.

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-segregation-cxczc_dataset,
    title = { seed segregation Dataset },
    type = { Open Source Dataset },
    author = { 1MS19EC112 },
    howpublished = { \url{ https://universe.roboflow.com/1ms19ec112/seed-segregation-cxczc } },
    url = { https://universe.roboflow.com/1ms19ec112/seed-segregation-cxczc },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { may },
    note = { visited on 2023-12-11 },
}