Bicol University

Tomato Detection

Object Detection

Tomato Detection Computer Vision Project

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Here are a few use cases for this project:

  1. Agricultural Automation: This model can be utilized in smart agriculture projects for automatic crop harvesting. When installed in automated harvesting machines, the model can identify the maturity level of tomatoes, ensuring only ripe ones are harvested and reducing unnecessary waste.

  2. Grocery Quality Control: The model can streamline the sorting process in grocery stores. By scanning tomatoes, it can sort them based on ripeness level, making it easier for customers to select the appropriate ones and for store workers to remove overripe or rotten ones.

  3. Food Processing Industries: In industries such as ketchup, sauce, or juice making, this model could ensure only ripe tomatoes make it to the production line, enhancing product quality and reducing waste.

  4. Smart Refrigerators: Home appliance makers can incorporate this model into smart refrigerators, helping users to effectively manage their food. They’d know when their tomatoes are ripe and ready to eat, when they are overripe and should be used quickly, or when they are rotten and need to be thrown away.

  5. Cooking Aid Application: This model can be integrated into a kitchen or cooking app to advise users on the optimal use of their tomatoes based on their ripeness, helping them to produce better tasting food and reduce waste.

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{ tomato-detection-0ctlr_dataset,
    title = { Tomato Detection Dataset },
    type = { Open Source Dataset },
    author = { Bicol University },
    howpublished = { \url{ } },
    url = { },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { apr },
    note = { visited on 2023-12-08 },

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

Last Updated

8 months ago

Project Type

Object Detection




tomato_half_ripe, tomato_overripe, tomato_ripe, tomato_rotten, tomato_unripe

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