Produk Kelapa Computer Vision Project
Updated 2 years ago
Metrics
Here are a few use cases for this project:
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E-commerce Product Sorting: The model can be used by online shopping platforms to categorize products based on coconut-derived materials. By automatically identifying and sorting items like coconut charcoal, coconut sugar, brooms, and Keset Serabut, it ensures products are indexed correctly and improves user search experience.
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Waste Management and Recycling: This model can be integrated into intelligent waste sorting systems to identify and separate coconut-based products, assisting in ecological recycling and waste reduction efforts.
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Supply Chain Quality Control: Companies focused on coconut products can use the model for sorting and quality control, ensuring each type of product is consistent and meets the company's standards.
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Retail Inventory Management: This model can help automate inventory processes in retail stores specializing in products made from coconut materials—allowing for accurate inventory counts and assisting in stock replenishment.
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Educational Aid: This vision model can also serve as a tool for educating individuals on different types of coconut products, promoting learning through visual recognition.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
produk-kelapa_dataset,
title = { Produk Kelapa Dataset },
type = { Open Source Dataset },
author = { COMPUTER VISION },
howpublished = { \url{ https://universe.roboflow.com/computer-vision-y5ol6/produk-kelapa } },
url = { https://universe.roboflow.com/computer-vision-y5ol6/produk-kelapa },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { may },
note = { visited on 2024-11-21 },
}