arcelik_somun Computer Vision Project

somun

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Classes (3)
CAPAK
KIRIK
SOMUN
Description

Here are a few use cases for this project:

  1. Manufacturing Quality Control: The "arcelik_somun" model can be utilized in manufacturing industries to identify and categorize different types of somun (presumably a kind of fastener or screw type such as CAPAK, KIRIK, SOMUN) which aids in quality control and assurance as faulty or mismatched pieces can be quickly detected and separated.

  2. Improving Efficiency in Sorting Assembly Parts: The model can add efficiency to assembly workflows in factories by automatically sorting different types of somun, reducing assembly time and minimizing errors.

  3. Retail Industry: Retail stores, particularly in the hardware sector, can implement this model in their inventory management systems to assist in identifying, categorizing, and managing large stocks of somun classes.

  4. E-Commerce: Online platforms selling hardware items can use this model to ensure the right product is being shipped to the customer by automatically identifying the somun type before packaging.

  5. Augmented Reality Applications: In AR applications designed for assembly or repair tasks, the "arcelik_somun" model could be used to identify the correct type of somun being used, providing real-time, on-screen guidance to users.

Supervision

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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{
                            arcelik_somun_dataset,
                            title = { arcelik_somun Dataset },
                            type = { Open Source Dataset },
                            author = { somun },
                            howpublished = { \url{ https://universe.roboflow.com/somun/arcelik_somun } },
                            url = { https://universe.roboflow.com/somun/arcelik_somun },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-11-27 },
                            }
                        
                    

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