Group3_BEJ44103_Task2 (YOLO) Object Detection Dataset and Pre-Trained Model by Group 3

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Explore Dataset

Here are a few use cases for this project:

Agricultural Research and Development: This model can be utilized to automate the identification and classification of various fruits and leaves in agriculture research. By detecting and identifying different fruits and leaves, researchers can track plant growth, fruit yield, and detect diseases.
Harvest Management: The technology can be used by farmers to identify ripe fruits to harvest. By identifying the type and maturity of fruits, it can help in optimizing the best time to harvest, thus reducing waste and increasing productivity.
Fruit Sorting and Quality Control: In the food industry, the model can be used for automated sorting of fruits based on their type and quality. By distinguishing different fruits and identifying any leaves that might be mixed, the model can help improve the efficiency and accuracy of sorting processes.
Retailing and Inventory Management: Retailers can use the model to keep track of their fruit stocks. The system can provide an efficient, automated way to manage and replenish inventory, leading to less waste and more profitability.
Environmental Research: The model can be applied for environmental study, assessing the health and diversity of fruit plants in a certain ecosystem. It can be used to monitor changes over time or assess the impact of certain interventions or environmental factors on fruit-plant populations.

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{ group3_bej44103_task2-yolo_dataset,
    title = { Group3_BEJ44103_Task2 (YOLO) Dataset },
    type = { Open Source Dataset },
    author = { Group 3 },
    howpublished = { \url{ https://universe.roboflow.com/group-3-2cxrc/group3_bej44103_task2-yolo } },
    url = { https://universe.roboflow.com/group-3-2cxrc/group3_bej44103_task2-yolo },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { jun },
    note = { visited on 2023-11-29 },
}