Produk Kelapa Computer Vision Project

COMPUTER VISION

Updated 2 years ago

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Classes (4)
Keset Serabut
broom
charcoal
coconut sugar

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Description

Here are a few use cases for this project:

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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

LICENSE
CC BY 4.0

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 2024-12-22 },
                            }