Produk Kelapa Object Detection Dataset and Pre-Trained Model by COMPUTER VISION

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500 images

Explore Dataset

Here are a few use cases for this project:

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.
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.
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.
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.
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.

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{
                            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 2024-05-08 },
                            }