woddboard Computer Vision Project

new-workspace-bqaus

Updated 2 years ago

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Description

Here are a few use cases for this project:

  1. "Woodwork Design and Furniture Manufacturing": This use case is for carpenters and furniture manufacturers. They can use the model to identify the class and type of woodboards they have in their inventory to make more informed decisions regarding the best usage for each type of board based on their properties and the design requirements.

  2. "Recycling and Reclaiming Wood Materials": For companies focused on sustainability, they could use this model to correctly identify, segregate, and then recycle or reclaim different classes of woodboards. This would also assist in waste management and eco-friendly practices.

  3. "Home Improvement & Renovation": DIY enthusiasts or professionals could use this model to easily identify what type of woodboard they’re dealing with during home renovations. This helps in determining the right treatment or finishing method, especially while dealing with earlier installed woodworks.

  4. "Hardware Store Sales Enablement": Hardware stores could use this model to help customers identify woodboard types. By implementing it into an app, customers could take pictures of woodboards and learn what class they belong to, which could help in purchase decisions.

  5. "Education and Research": For students and researchers in forestry, construction, anthropology, archaeology, or any related field, the model could serve as an interactive learning tool to help them identify and categorize different woodboard classes.

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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{
                            woddboard_dataset,
                            title = { woddboard Dataset },
                            type = { Open Source Dataset },
                            author = { new-workspace-bqaus },
                            howpublished = { \url{ https://universe.roboflow.com/new-workspace-bqaus/woddboard } },
                            url = { https://universe.roboflow.com/new-workspace-bqaus/woddboard },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { feb },
                            note = { visited on 2024-11-23 },
                            }
                        
                    

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