Visual Inspection of Star Anise

Object Detection

Roboflow Universe Hi Visual Inspection of Star Anise

Visual Inspection of Star Anise Computer Vision Project

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Explore Dataset

Here are a few use cases for this project:

  1. Spice Quality Control: Businesses dealing with spices, specifically star anise, could use this model to sort through bulk shipments and identify unacceptable products. This process will ensure only the best quality star anise gets processed and delivered.

  2. Agricultural Analysis: Farmers and agriculturists can use this model to monitor the quality of their star anise crops. By scanning images or videos captured by drones or other devices, they can identify and isolate unhealthy or unacceptable star anise plants earlier.

  3. Food and Drug Administration (FDA): The FDA or similar organizations can use this model to enforce quality standards for star anise in the market. They could scan images of batches to ensure continued adherence to quality standards and safety measures.

  4. Star Anise Study and Research: Researchers studying star anise or developing medicines based on it could use this model to identify suitable specimens for their experiments.

  5. Image Sorting and Cataloging: For those who have extensive image databases, this model could be used to categorize and tag images based on whether they depict acceptable or unacceptable star anise. This could be useful for educators, illustrators, or database management teams.

Please note, the example image of a person sitting on a rock in the woods seems unrelated to the purpose of the "Visual Inspection of Star Anise" model. If this model is intended to identify star anise in various contexts including natural environments, the image might be beneficial. If not, it may confuse the model's learning.

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.


This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

Cite this Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ visual-inspection-of-star-anise_dataset,
    title = { Visual Inspection of Star Anise Dataset },
    type = { Open Source Dataset },
    author = { Hi },
    howpublished = { \url{ https://universe.roboflow.com/hi-yuc6l/visual-inspection-of-star-anise } },
    url = { https://universe.roboflow.com/hi-yuc6l/visual-inspection-of-star-anise },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { aug },
    note = { visited on 2023-12-05 },

Find utilities and guides to help you start using the Visual Inspection of Star Anise project in your project.



Last Updated

4 months ago

Project Type

Object Detection




Accept_Star_Anise, Reject_Star_Anise

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CC BY 4.0