fruit-ripeness 22 Computer Vision Project
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Trained Model API
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YOLOv8
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{
fruit-ripeness-22_dataset,
title = { fruit-ripeness 22 Dataset },
type = { Open Source Dataset },
author = { Arab academy for science and technology },
howpublished = { \url{ https://universe.roboflow.com/arab-academy-for-science-and-technology-rvgsi/fruit-ripeness-22 } },
url = { https://universe.roboflow.com/arab-academy-for-science-and-technology-rvgsi/fruit-ripeness-22 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { may },
note = { visited on 2024-06-01 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the fruit-ripeness 22 project in your project.
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