orangetomato Computer Vision Project
Updated 3 years ago
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downloadsHere are a few use cases for this project:
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Food Quality Control: The "orangetomato" model can be used in supermarkets and grocery stores to aid in quality control. The model will scan fruits on shelves and identify if they are fresh or stale, helping to maintain freshness and minimize wastage.
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Farm Harvest Optimizations: Farmers can use this model to identify the right time to harvest their tomatoes and oranges. The fresh_orangerotation and fresh_tomatorotation classes could give an indication of fruits reaching optimal ripeness.
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Automated Sorting in Packaging Industry: The food processing and packaging industry can use this model for segregating the fruits based on their freshness and rotations. It can help automate the process and increase efficiency.
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Home Improvement Apps: Apps designed to help users detect rotten fruits in homes can integrate this model. With it, customers can quickly identify rotten tomatoes or oranges on sight.
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Pest Control and Research: As the given dataset also includes images of pests (a spider on a rotten tomato), it could be used by pest control companies or researchers to study the relation between fruit rot and pest occurrences. The findings can help develop improved pest control methods.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
orangetomato_dataset,
title = { orangetomato Dataset },
type = { Open Source Dataset },
author = { new-workspace-hwjsc },
howpublished = { \url{ https://universe.roboflow.com/new-workspace-hwjsc/orangetomato } },
url = { https://universe.roboflow.com/new-workspace-hwjsc/orangetomato },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { may },
note = { visited on 2024-11-17 },
}