Penelitian

Tomato Detection Fresh or Rotten using YOLOv8

Object Detection

Roboflow Universe Penelitian Tomato Detection Fresh or Rotten using YOLOv8
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Tomato Detection Fresh or Rotten using YOLOv8 Computer Vision Project

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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{ tomato-detection-fresh-or-rotten-using-yolov8_dataset,
    title = { Tomato Detection Fresh or Rotten using YOLOv8 Dataset },
    type = { Open Source Dataset },
    author = { Penelitian },
    howpublished = { \url{ https://universe.roboflow.com/penelitian-lpgmn/tomato-detection-fresh-or-rotten-using-yolov8 } },
    url = { https://universe.roboflow.com/penelitian-lpgmn/tomato-detection-fresh-or-rotten-using-yolov8 },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { aug },
    note = { visited on 2023-12-04 },
}

Find utilities and guides to help you start using the Tomato Detection Fresh or Rotten using YOLOv8 project in your project.

Source

Penelitian

Last Updated

4 months ago

Project Type

Object Detection

Subject

Tomato

Classes

0, 1, Fresh Tomato, Rotten Tomato, object

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Views in previous 30 days: 236

Downloads: 31

Downloads in previous 30 days: 13

License

CC BY 4.0